Shimon Whiteson

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Bayesian Ranker Comparison Based on Historical User Interactions

M. de Rijke, Artem Grotov, Shimon Whiteson, 2015, SIGIR.

Report on the 2008 Reinforcement Learning Competition

Shimon Whiteson, Brian Tanner, Adam M. White, 2010, AI Mag..

Stochastic Optimization for Collision Selection in High Energy Physics

Shimon Whiteson, Daniel Whiteson, S. Whiteson, 2006, AAAI.

Dynamic-Depth Context Tree Weighting

Shimon Whiteson, João V. Messias, J. Messias, 2017, NIPS.

Multi-Agent Common Knowledge Reinforcement Learning

Shimon Whiteson, Philip H. S. Torr, Jakob N. Foerster, 2018, NeurIPS.

The Reinforcement Learning Competitions

Shimon Whiteson, Brian Tanner, Adam M. White, 2010 .

Optimizing Base Rankers Using Clicks - A Case Study Using BM25

M. de Rijke, Floor Sietsma, Shimon Whiteson, 2014, ECIR.

Pareto Local Policy Search for MOMDP Planning

Shimon Whiteson, 2015 .

Postponed Updates for Temporal-Difference Reinforcement Learning

Shimon Whiteson, Harm van Seijen, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Towards Personalised Gaming via Facial Expression Recognition

Shimon Whiteson, Theo Gevers, Chek Tien Tan, 2014, AIIDE.

Queued Pareto Local Search for Multi−objective Decision Making

Shimon Whiteson, 2015 .

Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games pdf

Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan, 2011, ArXiv.

Multi-Objective Decision Making

Shimon Whiteson, Diederik M. Roijers, Shimon Whiteson, 2017, Synthesis Lectures on Artificial Intelligence and Machine Learning.

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? pdf

Shimon Whiteson, Philip H. S. Torr, Philip H.S. Torr, 2020, ArXiv.

Generalized Off-Policy Actor-Critic

Shimon Whiteson, Wendelin Boehmer, Shangtong Zhang, 2019, NeurIPS.

Efficient Abstraction Selection in Reinforcement Learning (Extended Abstract)

Shimon Whiteson, Harm van Seijen, Leon J. H. M. Kester, 2013, SARA.

Fast Efficient Hyperparameter Tuning for Policy Gradient Methods

Shimon Whiteson, Supratik Paul, Vitaly Kurin, 2019, NeurIPS.

Evolving robocup keepaway players through task decomposition

Risto Miikkulainen, Shimon Whiteson, Nate Kohl, 2003 .

Critical factors in the performance of novelty search

Shimon Whiteson, Steijn Kistemaker, Shimon Whiteson, 2011, GECCO '11.

Approximate solutions for factored Dec-POMDPs with many agents

Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan, 2013, AAMAS.

MAVEN: Multi-Agent Variational Exploration

Shimon Whiteson, Anuj Mahajan, Tabish Rashid, 2019, NeurIPS.

Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation

Shimon Whiteson, Bo Liu, Shangtong Zhang, 2019, ICML.

A Survey of Reinforcement Learning Informed by Natural Language

Shimon Whiteson, Jacob Andreas, Edward Grefenstette, 2019, IJCAI.

Neuroevolutionary reinforcement learning for generalized control of simulated helicopters

Shimon Whiteson, Rogier Koppejan, S. Whiteson, 2011, Evol. Intell..

Inverse Reinforcement Learning from Failure

Shimon Whiteson, João V. Messias, Kyriacos Shiarlis, 2016, AAMAS.

Concurrent layered learning

Shimon Whiteson, Peter Stone, S. Whiteson, 2003, AAMAS '03.

Computing Convex Coverage Sets for Multi-objective Coordination Graphs

Shimon Whiteson, Frans A. Oliehoek, Diederik M. Roijers, 2013, ADT.

Contextual Bandits for Information Retrieval

Katja Hofmann, M. de Rijke, Shimon Whiteson, 2011 .

Comparing evolutionary and temporal difference methods in a reinforcement learning domain

Shimon Whiteson, Peter Stone, Matthew E. Taylor, 2006, GECCO.

Multileave Gradient Descent for Fast Online Learning to Rank

M. de Rijke, Shimon Whiteson, Maarten de Rijke, 2016, WSDM.

Fast Context Adaptation via Meta-Learning

Katja Hofmann, Shimon Whiteson, Vitaly Kurin, 2018, ICML.

Breaking the Deadly Triad with a Target Network

Shimon Whiteson, Shangtong Zhang, Hengshuai Yao, 2021 .

Fast Efficient Hyperparameter Tuning for Policy Gradients pdf

Shimon Whiteson, Supratik Paul, Vitaly Kurin, 2019, NeurIPS.

Protecting against evaluation overfitting in empirical reinforcement learning

Shimon Whiteson, Peter Stone, Matthew E. Taylor, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Social interaction for efficient agent learning from human reward

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2017, Autonomous Agents and Multi-Agent Systems.

DiCE: The Infinitely Differentiable Monte-Carlo Estimator pdf

Shimon Whiteson, Eric P. Xing, Jakob N. Foerster, 2018, ICML.

Towards Learning from Implicit Human Reward: (Extended Abstract)

Shimon Whiteson, Hamdi Dibeklioglu, Hayley Hung, 2016, AAMAS.

Rapidly exploring learning trees

Shimon Whiteson, Kyriacos Shiarlis, Joao Messias, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Computing Convex Coverage Sets for Faster Multi-objective Coordination

Shimon Whiteson, Frans A. Oliehoek, Diederik M. Roijers, 2015, J. Artif. Intell. Res..

Provably Convergent Off-Policy Actor-Critic with Function Approximation pdf

Shimon Whiteson, Bo Liu, Shangtong Zhang, 2019, ArXiv.

Multi-Task Reinforcement Learning: Shaping and Feature Selection

Shimon Whiteson, Matthijs Snel, M. Snel, 2011, EWRL.

Expected Policy Gradients for Reinforcement Learning pdf

Shimon Whiteson, Kamil Ciosek, K. Ciosek, 2018, J. Mach. Learn. Res..

EFFICIENT ABSTRACTION SELECTION IN REINFORCEMENT LEARNING

Shimon Whiteson, Harm van Seijen, Leon J. H. M. Kester, 2013, Comput. Intell..

Adaptive job routing and scheduling

Shimon Whiteson, Peter Stone, P. Stone, 2004, Eng. Appl. Artif. Intell..

Generalized Domains for Empirical Evaluations in Reinforcement Learning

Shimon Whiteson, Peter Stone, Matthew E. Taylor, 2009 .

Probably Approximately Correct Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection

Shimon Whiteson, Frans A. Oliehoek, Yash Satsangi, 2016 .

Pareto Local Search for MOMDP Planning

Shimon Whiteson, Diederik M. Roijers, Chiel Kooijman, 2015, ESANN.

Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs

Shimon Whiteson, Nikos A. Vlassis, Bram Bakker, 2008, ECML/PKDD.

Automatic feature selection using FS-NEAT

Shimon Whiteson, A. Ethembabaoglu, 2008 .

An Analysis of Piecewise-Linear and Convex Value Functions for Active Perception POMDPs

Shimon Whiteson, Matthijs T. J. Spaan, Yash Satsangi, 2015 .

Using Confidence Bounds for Efficient On−Line Ranker Evaluation

Shimon Whiteson, 2014 .

Exploiting locality of interaction in factored Dec-POMDPs

Shimon Whiteson, Nikos A. Vlassis, Frans A. Oliehoek, 2008, AAMAS.

Weighted QMIX: Expanding Monotonic Value Function Factorisation

Shimon Whiteson, Gregory Farquhar, Bei Peng, 2020, NeurIPS.

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

Shimon Whiteson, Marco Wiering, Harm van Seijen, 2009 .

Deep Interactive Bayesian Reinforcement Learning via Meta-Learning pdf

Sam Devlin, Shimon Whiteson, Katja Hofmann, 2021, ArXiv.

Copeland Dueling Bandits

M. de Rijke, Shimon Whiteson, Maarten de Rijke, 2015, NIPS.

Deep Variational Reinforcement Learning for POMDPs

Shimon Whiteson, Tuan Anh Le, Frank Wood, 2018, ICML.

Switching between Representations in Reinforcement Learning

Shimon Whiteson, Harm van Seijen, Leon J. H. M. Kester, 2010, Interactive Collaborative Information Systems.

Critical factors in the performance of hyperNEAT

Shimon Whiteson, Thomas G. van den Berg, 2013, GECCO '13.

The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning pdf

Shimon Whiteson, Gregory Farquhar, Jelena Luketina, 2020, ArXiv.

AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning pdf

Shimon Whiteson, Fei Sha, Bei Peng, 2020, ArXiv.

Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning pdf

Shimon Whiteson, Bo Liu, Shangtong Zhang, 2020, ArXiv.

FACMAC: Factored Multi-Agent Centralised Policy Gradients pdf

Shimon Whiteson, Wendelin Böhmer, Philip H. S. Torr, 2020, NeurIPS.

Learning from human reward benefits from socio-competitive feedback

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Challenge balancing for personalised game spaces

Shimon Whiteson, Sander Bakkes, Guangliang Li, 2014, 2014 IEEE Games Media Entertainment.

Queued Pareto Local Search for Multi-Objective Optimization

Shimon Whiteson, Diederik M. Roijers, Chiel Kooijman, 2014, PPSN.

Evolving Soccer Keepaway Players Through Task Decomposition

Risto Miikkulainen, Shimon Whiteson, Peter Stone, 2005, Machine Learning.

Balancing Exploration and Exploitation in Learning to Rank Online

Katja Hofmann, M. de Rijke, Shimon Whiteson, 2011, ECIR.

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning pdf

Shimon Whiteson, Gregory Farquhar, Christian Schroeder de Witt, 2020, J. Mach. Learn. Res..

Stable Opponent Shaping in Differentiable Games pdf

Shimon Whiteson, Jakob N. Foerster, David Balduzzi, 2018, ICLR.

Reusing historical interaction data for faster online learning to rank for IR

Katja Hofmann, M. de Rijke, Shimon Whiteson, 2013, DIR.

Average-Reward Off-Policy Policy Evaluation with Function Approximation pdf

Shimon Whiteson, Richard S. Sutton, Shangtong Zhang, 2021, ArXiv.

LipNet: End-to-End Sentence-level Lipreading

Shimon Whiteson, Nando de Freitas, Brendan Shillingford, 2016, 1611.01599.

RODE: Learning Roles to Decompose Multi-Agent Tasks pdf

Shimon Whiteson, Bei Peng, Anuj Mahajan, 2020, ICLR.

Fourier Policy Gradients

Matthew Fellows, Shimon Whiteson, Kamil Ciosek, 2018, ICML.

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control pdf

Shimon Whiteson, Tim Rocktäschel, Vitaly Kurin, 2020, ICLR.

Adapting Rankers Online

Katja Hofmann, Shimon Whiteson, Maarten de Rijke, 2011, IRFC.

Using informative behavior to increase engagement while learning from human reward

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2015, Autonomous Agents and Multi-Agent Systems.

Automatic Feature Selection for Reinforcement Learning

Shimon Whiteson, 2010 .

Machine learning for event selection in high energy physics

Shimon Whiteson, Daniel Whiteson, D. Whiteson, 2009, Eng. Appl. Artif. Intell..

Variational Multi−Objective Coordination

Shimon Whiteson, 2015 .

The StarCraft Multi-Agent Challenge pdf

Shimon Whiteson, Philip H. S. Torr, Jakob N. Foerster, 2019, AAMAS.

Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization pdf

Shimon Whiteson, Jakob N. Foerster, University of Oxford, 2020, ArXiv.

Information Retrieval manuscript No. (will be inserted by the editor) Balancing Exploration and Exploitation in Listwise and Pairwise Online Learning to Rank for Information Retrieval

Katja Hofmann, M. de Rijke, Shimon Whiteson, 2022 .

Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison

Shimon Whiteson, Peter Stone, Matthew E. Taylor, 2007, AAAI.

Integrating distributed Bayesian inference and reinforcement learning for sensor management

Shimon Whiteson, Gregor Pavlin, Bram Bakker, 2009, 2009 12th International Conference on Information Fusion.

Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs

Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan, 2013, J. Artif. Intell. Res..

Multileaved Comparisons for Fast Online Evaluation

M. de Rijke, Floor Sietsma, Shimon Whiteson, 2014, CIKM.

Traffic Light Control by Multiagent Reinforcement Learning Systems

Shimon Whiteson, Frans C. A. Groen, Leon J. H. M. Kester, 2010, Interactive Collaborative Information Systems.

Multi-objective variable elimination for collaborative graphical games

Shimon Whiteson, Frans A. Oliehoek, Diederik M. Roijers, 2013, AAMAS.

Intro to Reinforcement Learning

Shimon Whiteson, S. Whiteson, 2017, BMVC.

Probably Approximately Correct Greedy Maximization: (Extended Abstract)

Shimon Whiteson, Frans A. Oliehoek, Yash Satsangi, 2016, AAMAS.

Towards Challenge Balancing for Personalised Game Spaces

Shimon Whiteson, Sander Bakkes, 2014 .

Adaptive Representations for Reinforcement Learning

Shimon Whiteson, S. Whiteson, Shimon Whiteson, 2010, Studies in Computational Intelligence.

Bounded Approximations for Linear Multi-Objective Planning Under Uncertainty

Shimon Whiteson, Mathijs de Weerdt, Frans A. Oliehoek, 2014, ICAPS.

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning pdf

H. Francis Song, Shimon Whiteson, Michael H. Bowling, 2018, ICML.

Robust central pattern generators for embodied hierarchical reinforcement learning

Yasuo Kuniyoshi, Shimon Whiteson, Matthijs Snel, 2011, 2011 IEEE International Conference on Development and Learning (ICDL).

Deep Coordination Graphs pdf

Shimon Whiteson, Wendelin Böhmer, Vitaly Kurin, 2020, ICML.

Learning potential functions and their representations for multi-task reinforcement learning

Shimon Whiteson, Matthijs Snel, M. Snel, 2013, Autonomous Agents and Multi-Agent Systems.

A theoretical and empirical analysis of Expected Sarsa

Shimon Whiteson, Marco Wiering, Harm van Seijen, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

A Large-Scale Study of Agents Learning from Human Reward

Shimon Whiteson, Hayley Hung, Guangliang Li, 2015, AAMAS.

Linear support for multi-objective coordination graphs

Shimon Whiteson, Frans A. Oliehoek, Diederik M. Roijers, 2014, AAMAS.

On-line evolutionary computation for reinforcement learning in stochastic domains

Shimon Whiteson, Peter Stone, P. Stone, 2006, GECCO.

Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem pdf

M. de Rijke, Shimon Whiteson, Maarten de Rijke, 2013, ICML.

Relative confidence sampling for efficient on-line ranker evaluation

M. de Rijke, Shimon Whiteson, Maarten de Rijke, 2014, WSDM.

Contextual Policy Optimisation pdf

Shimon Whiteson, Michael A. Osborne, Supratik Paul, 2018, ArXiv.

A probabilistic method for inferring preferences from clicks

Katja Hofmann, M. de Rijke, Shimon Whiteson, 2011, CIKM '11.

Learning From Demonstration in the Wild

Xi Chen, Shimon Whiteson, Frans A. Oliehoek, 2018, 2019 International Conference on Robotics and Automation (ICRA).

TERESA: a socially intelligent semi-autonomous telepresence system

Gwenn Englebienne, Shimon Whiteson, Maja Pantic, 2015 .

Learning Retrospective Knowledge with Reverse Reinforcement Learning pdf

Shimon Whiteson, Shangtong Zhang, Vivek Veeriah, 2020, NeurIPS.

Evolving Keepaway Soccer Players through Task Decomposition

Risto Miikkulainen, Shimon Whiteson, Peter Stone, 2003, GECCO.

Alternating Optimisation and Quadrature for Robust Control

Shimon Whiteson, Michael A. Osborne, Jean-Baptiste Mouret, 2016, AAAI.

WordCraft: An Environment for Benchmarking Commonsense Agents pdf

Shimon Whiteson, Philip H. S. Torr, Pasquale Minervini, 2020, ArXiv.

Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning pdf

Shimon Whiteson, Wendelin Böhmer, Tabish Rashid, 2019, ArXiv.

Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning pdf

Shimon Whiteson, Bryan Catanzaro, Vitaly Kurin, 2019, ArXiv.

Facial feedback for reinforcement learning: a case study and offline analysis using the TAMER framework

Shimon Whiteson, Hamdi Dibeklioglu, Hayley Hung, 2020, Autonomous Agents and Multi-Agent Systems.

Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection

Shimon Whiteson, Frans A. Oliehoek, Yash Satsangi, 2015, AAAI.

Towards Autonomic Computing: Adaptive Job Routing and Scheduling

Shimon Whiteson, Peter Stone, 2004, AAAI.

Alternating Optimisation and Quadrature for Robust Reinforcement Learning pdf

Shimon Whiteson, Michael A. Osborne, Supratik Paul, 2016, ArXiv.

Evolutionary Computation for Reinforcement Learning

Shimon Whiteson, Shimon Whiteson, 2012, Reinforcement Learning.

Multitask Soft Option Learning

Shimon Whiteson, Wendelin Böhmer, N. Siddharth, 2019, UAI.

Weighted QMIX: Expanding Monotonic Value Function Factorisation pdf

Shimon Whiteson, Gregory Farquhar, Bei Peng, 2020, ArXiv.

VIABLE: Fast Adaptation via Backpropagating Learned Loss pdf

Shimon Whiteson, Bei Peng, Luisa Zintgraf, 2019, ArXiv.

"Learning to rank for information retrieval from user interactions" by K. Hofmann, S. Whiteson, A. Schuth, and M. de Rijke with Martin Vesely as coordinator

Katja Hofmann, M. de Rijke, Shimon Whiteson, 2014, SIGWEB Newsl..

Growing Action Spaces pdf

Shimon Whiteson, Nicolas Usunier, Gregory Farquhar, 2019, ICML.

Robust Reinforcement Learning with Bayesian Optimisation and Quadrature

Shimon Whiteson, Michael A. Osborne, Supratik Paul, 2020, J. Mach. Learn. Res..

Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?

Shimon Whiteson, Bryan Catanzaro, Vitaly Kurin, 2020, NeurIPS.

TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning pdf

Shimon Whiteson, Gregory Farquhar, Tim Rocktäschel, 2017, ICLR 2018.

Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning

Shimon Whiteson, Peter Stone, 2006, AAAI.

UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning pdf

Shimon Whiteson, Wendelin Böhmer, Bei Peng, 2020, ArXiv.

Real-Time Resource Allocation for Tracking Systems pdf

Shimon Whiteson, Frans A. Oliehoek, Henri Bouma, 2017, UAI.

Adaptive Tile Coding for Reinforcement Learning

Shimon Whiteson, Peter Stone, Matthew E. Taylor, 2006 .

DAC: The Double Actor-Critic Architecture for Learning Options

Shimon Whiteson, Shangtong Zhang, Shangtong Zhang, 2019, NeurIPS.

Point-Based Planning for Multi-Objective POMDPs

Shimon Whiteson, Frans A. Oliehoek, Diederik M. Roijers, 2015, IJCAI.

V-MAX: tempered optimism for better PAC reinforcement learning

Shimon Whiteson, Karun Rao, 2012, AAMAS.

CAML: Fast Context Adaptation via Meta-Learning pdf

Katja Hofmann, Shimon Whiteson, Vitaly Kurin, 2018, ArXiv.

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning pdf

Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar, 2018, ICML.

Leveraging social networks to motivate humans to train agents

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2014, AAMAS.

Lerot: an online learning to rank framework

Katja Hofmann, M. de Rijke, Shimon Whiteson, 2013, LivingLab '13.

Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning

Shimon Whiteson, Gregory Farquhar, Jakob Foerster, 2019, NeurIPS.

Probably Approximately Correct Greedy Maximization pdf

Shimon Whiteson, Frans A. Oliehoek, Yash Satsangi, 2016, ArXiv.

A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs

Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar, 2019, ICML.

Design criteria for challenge balancing of personalised game spaces

Shimon Whiteson, Sander Bakkes, 2014, FDG.

A Better Baseline for Second Order Gradient Estimation in Stochastic Computation Graphs

Shimon Whiteson, Gregory Farquhar, Tim Rocktäschel, 2018 .

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Shimon Whiteson, Pushmeet Kohli, Philip H. S. Torr, 2017, ICML.

GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values pdf

Shimon Whiteson, Bo Liu, Shangtong Zhang, 2020, ICML.

TACO: Learning Task Decomposition via Temporal Alignment for Control pdf

Shimon Whiteson, Markus Wulfmeier, Ingmar Posner, 2018, ICML.

Exploiting submodular value functions for scaling up active perception

Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan, 2017, Autonomous Robots.

OFFER: Off-Environment Reinforcement Learning

Shimon Whiteson, Kamil Andrzej Ciosek, K. Ciosek, 2017, AAAI.

Lossless clustering of histories in decentralized POMDPs

Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan, 2009, AAMAS.

Empirical Studies in Action Selection with Reinforcement Learning

Shimon Whiteson, Peter Stone, Matthew E. Taylor, 2007, Adapt. Behav..

Using informative behavior to increase engagement in the tamer framework

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2013, AAMAS.

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning pdf

Shimon Whiteson, Katja Hofmann, Luisa Zintgraf, 2020, ArXiv.

A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms pdf

Romain Laroche, Shimon Whiteson, Harm van Seijen, 2020, ArXiv.

Privileged Information Dropout in Reinforcement Learning pdf

Shimon Whiteson, Kai Arulkumaran, Feryal Behbahani, 2020, ArXiv.

Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods

Katja Hofmann, M. de Rijke, Shimon Whiteson, 2013, TOIS.

Exploiting Structure in Cooperative Bayesian Games

Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan, 2012, UAI.

LipNet: Sentence-level Lipreading pdf

Shimon Whiteson, Nando de Freitas, Brendan Shillingford, 2016, ArXiv.

Introduction to the special issue on empirical evaluations in reinforcement learning

Shimon Whiteson, Michael L. Littman, 2011, Machine Learning.

Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning

Shimon Whiteson, Shangtong Zhang, Bo Liu, 2020, AAAI.

TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning

Shimon Whiteson, Gregory Farquhar, Tim Rocktäschel, 2017, ICLR.

Estimating interleaved comparison outcomes from historical click data

Katja Hofmann, Shimon Whiteson, Maarten de Rijke, 2012, CIKM '12.

Automatic feature selection in neuroevolution

Risto Miikkulainen, Shimon Whiteson, Kenneth O. Stanley, 2005, GECCO '05.

Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning pdf

Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar, 2019, NeurIPS.

Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning

Shimon Whiteson, Peter Stone, Matthew E. Taylor, 2010, Autonomous Agents and Multi-Agent Systems.

Fingerprint Policy Optimisation for Robust Reinforcement Learning

Shimon Whiteson, Michael A. Osborne, Supratik Paul, 2018, ICML.

On-Line Evolutionary Computation

Shimon Whiteson, 2010 .

Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks pdf

Shimon Whiteson, Nando de Freitas, Jakob N. Foerster, 2016, ArXiv.

Counterfactual Multi-Agent Policy Gradients

Shimon Whiteson, Triantafyllos Afouras, Jakob N. Foerster, 2017, AAAI.

Multi-Objective Deep Reinforcement Learning pdf

Shimon Whiteson, Diederik M. Roijers, Yannis M. Assael, 2016, ArXiv.

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning pdf

Shimon Whiteson, Sebastian Schulze, Katja Hofmann, 2020, ICLR.

Learning with Opponent-Learning Awareness pdf

Shimon Whiteson, Pieter Abbeel, Jakob N. Foerster, 2017, AAMAS.

Transfer via inter-task mappings in policy search reinforcement learning

Shimon Whiteson, Peter Stone, Matthew E. Taylor, 2007, AAMAS '07.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Shimon Whiteson, Nando de Freitas, Jakob N. Foerster, 2016, NIPS.

Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration

Shimon Whiteson, João V. Messias, Kyriacos Shiarlis, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Transfer Learning for Policy Search Methods

Shimon Whiteson, Shimon Whiteson, 2006 .

PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection

Shimon Whiteson, Frans A. Oliehoek, Yash Satsangi, 2016, IJCAI.

Integrating Reinforcement Learning and Distributed Perception Networks for Mobile Sensor Control

Shimon Whiteson, Gregor Pavlin, Bram Bakker, 2008 .

A Survey of Multi-Objective Sequential Decision-Making pdf

Shimon Whiteson, Diederik M. Roijers, Peter Vamplew, 2013, J. Artif. Intell. Res..

Improving reinforcement learning function approximators via neuroevolution

Shimon Whiteson, 2005, AAMAS '05.

Evolutionary Function Approximation

Shimon Whiteson, 2010 .

Deep Residual Reinforcement Learning

Shimon Whiteson, Wendelin Boehmer, Shangtong Zhang, 2019, AAMAS.

Multi-task evolutionary shaping without pre-specified representations

Shimon Whiteson, Matthijs Snel, M. Snel, 2010, GECCO '10.

The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning

Shimon Whiteson, Rahul Savani, Frans A. Oliehoek, 2019, AAMAS.

Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs

Shimon Whiteson, Mark Kroon, M. Kroon, 2009, 2009 International Conference on Machine Learning and Applications.

Adaptive Tile Coding

Shimon Whiteson, 2010 .

Evolutionary Function Approximation for Reinforcement Learning

Shimon Whiteson, Peter Stone, S. Whiteson, 2006, J. Mach. Learn. Res..

MergeRUCB: A Method for Large-Scale Online Ranker Evaluation

M. de Rijke, Shimon Whiteson, Maarten de Rijke, 2015, WSDM.

Optimistic Exploration even with a Pessimistic Initialisation pdf

Shimon Whiteson, Wendelin Böhmer, Bei Peng, 2020, ICLR.

VIREL: A Variational Inference Framework for Reinforcement Learning

Matthew Fellows, Shimon Whiteson, Anuj Mahajan, 2018, NeurIPS.

Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning

Shimon Whiteson, Fei Sha, Bei Peng, 2020 .

Exploiting Best-Match Equations for Efficient Reinforcement Learning

Shimon Whiteson, Marco Wiering, Harm van Seijen, 2011, J. Mach. Learn. Res..

Maximizing Information Gain in Partially Observable Environments via Prediction Reward pdf

Shimon Whiteson, Frans A. Oliehoek, Martha White, 2020, AAMAS.

Sample-Efficient Evolutionary Function Approximation

Shimon Whiteson, 2010 .

Expected Policy Gradients

Shimon Whiteson, Kamil Ciosek, K. Ciosek, 2017, AAAI.

Towards autonomic computing: adaptive network routing and scheduling

Shimon Whiteson, Peter Stone, 2004, International Conference on Autonomic Computing, 2004. Proceedings..

Neuroevolutionary reinforcement learning for generalized helicopter control

Shimon Whiteson, Rogier Koppejan, S. Whiteson, 2009, GECCO.

Average-Reward Off-Policy Policy Evaluation with Function Approximation

Shimon Whiteson, Richard S. Sutton, Shangtong Zhang, 2021, ICML.

Bayesian Bellman Operators pdf

Shimon Whiteson, Kristian Hartikainen, Matthew Fellows, 2021, NeurIPS.

Transient Non-stationarity and Generalisation in Deep Reinforcement Learning

Shimon Whiteson, Gregory Farquhar, Jelena Luketina, 2020, ICLR.

Deep Residual Reinforcement Learning (Extended Abstract)

Shimon Whiteson, Shangtong Zhang, Wendelin Boehmer, 2021, IJCAI.

Truncated Emphatic Temporal Difference Methods for Prediction and Control pdf

Shimon Whiteson, Shangtong Zhang, 2021, ArXiv.

SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching pdf

Shimon Whiteson, Katja Hofmann, Anuj Mahajan, 2021, ArXiv.

Model based Multi-agent Reinforcement Learning with Tensor Decompositions pdf

Shimon Whiteson, Anuj Mahajan, Pascal Van Der Vaart, 2021, ArXiv.

Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning

Shimon Whiteson, Rahul Savani, Frans A. Oliehoek, 2019, Autonomous Agents and Multi-Agent Systems.

Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization

Shimon Whiteson, Jakob N. Foerster, University of Oxford, 2020, Mach. Learn. Sci. Technol..

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions pdf

Shimon Whiteson, Jean Kossaifi, Animashree Anandkumar, 2021, ArXiv.

Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients pdf

Shimon Whiteson, Bei Peng, Tarun Gupta, 2021, ArXiv.

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

Shimon Whiteson, Alessandro De Palma, Vitaly Kurin, 2022 .

Regularized Softmax Deep Multi-Agent Q-Learning

Shimon Whiteson, Longbo Huang, Bei Peng, 2021, NeurIPS.

UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning

Shimon Whiteson, Bei Peng, Anuj Mahajan, 2021, ICML.

Implicit Communication as Minimum Entropy Coupling pdf

Shimon Whiteson, Philip H. S. Torr, Samuel Sokota, 2021, ArXiv.

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency pdf

Sam Devlin, Shimon Whiteson, Katja Hofmann, 2021, ArXiv.

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Shimon Whiteson, Yuke Zhu, Jean Kossaifi, 2021, ICML.

Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning

Shimon Whiteson, Bei Peng, Fei Sha, 2020, ICML.

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning

Shimon Whiteson, Katja Hofmann, Luisa Zintgraf, 2020, ICML.

Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing pdf

Shimon Whiteson, Vitaly Kurin, Charlie Blake, 2021, NeurIPS.

Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning pdf

Shimon Whiteson, Longbo Huang, Bei Peng, 2021, ArXiv.

Breaking the Deadly Triad with a Target Network pdf

Shimon Whiteson, Shangtong Zhang, Hengshuai Yao, 2021, ICML.

On the Practical Consistency of Meta-Reinforcement Learning Algorithms pdf

Shimon Whiteson, Risto Vuorio, Luisa Zintgraf, 2021, ArXiv.

Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework

Shimon Whiteson, Hamdi Dibeklioglu, Hayley Hung, 2021, AAMAS.

Why Multi-objective Reinforcement Learning?

Shimon Whiteson, 2015 .

Towards Challenge Balancing for Personalised Game Spaces

Shimon Whiteson, Sander Bakkes, S. Bakkes, 2014 .

The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning pdf

Shimon Whiteson, Gregory Farquhar, Jelena Luketina, 2020, ArXiv.

Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning pdf

Shimon Whiteson, Bryan Catanzaro, Vitaly Kurin, 2019, ArXiv.