Bilal Piot

发表

Classification structurée pour l'apprentissage par renforcement inverse

Matthieu Geist, Olivier Pietquin, Edouard Klein, 2013, Rev. d'Intelligence Artif..

Noisy Networks for Exploration pdf

Shane Legg, Alex Graves, Demis Hassabis, 2017, ICLR.

Laugh-aware virtual agent and its impact on user amusement

Radoslaw Niewiadomski, Matthieu Geist, Tobias Baur, 2013, AAMAS.

Score-based Inverse Reinforcement Learning

Romain Laroche, Matthieu Geist, Olivier Pietquin, 2016, AAMAS.

Softened Approximate Policy Iteration for Markov Games

Matthieu Geist, Bruno Scherrer, Olivier Pietquin, 2016, ICML.

Boosted and reward-regularized classification for apprenticeship learning

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2014, AAMAS.

Playing the Game of Universal Adversarial Perturbations pdf

Olivier Pietquin, Bilal Piot, Mateusz Malinowski, 2018, ArXiv.

Deep Q-learning From Demonstrations

Tom Schaul, Andrew Sendonaris, Joel Z. Leibo, 2017, AAAI.

Difference of Convex Functions Programming Applied to Control with Expert Data pdf

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2016, ArXiv.

End-to-end optimization of goal-driven and visually grounded dialogue systems pdf

Olivier Pietquin, Aaron C. Courville, Harm de Vries, 2017, IJCAI.

On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games

Bruno Scherrer, Olivier Pietquin, Bilal Piot, 2016, AISTATS.

Agent57: Outperforming the Atari Human Benchmark

Daniel Guo, Charles Blundell, Bilal Piot, 2020, ICML.

The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning

Marc G. Bellemare, Rémi Munos, Bilal Piot, 2017, ICLR.

A Cascaded Supervised Learning Approach to Inverse Reinforcement Learning

Matthieu Geist, Olivier Pietquin, Edouard Klein, 2013, ECML/PKDD.

Imitation Learning Applied to Embodied Conversational Agents

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2015, MLIS@ICML.

Inverse Reinforcement Learning in Relational Domains

Manuel Lopes, Matthieu Geist, Olivier Pietquin, 2015, IJCAI.

Around Inverse Reinforcement Learning and Score-based Classification

Matthieu Geist, Olivier Pietquin, Yann Guermeur, 2013 .

Boosted Bellman Residual Minimization Handling Expert Demonstrations

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2014, ECML/PKDD.

Should one minimize the expected Bellman residual or maximize the mean value? pdf

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2016, ArXiv.

Geometric Entropic Exploration pdf

Tor Lattimore, Michal Valko, Bilal Piot, 2021, ArXiv.

BYOL works even without batch statistics pdf

Razvan Pascanu, Michal Valko, Florian Strub, 2020, ArXiv.

Observational Learning by Reinforcement Learning pdf

Olivier Pietquin, Bilal Piot, Diana Borsa, 2017, AAMAS.

Predicting when to laugh with structured classification

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2014, INTERSPEECH.

Laugh When You're Winning

Radoslaw Niewiadomski, Maurizio Mancini, Catherine Pelachaud, 2013, eNTERFACE.

Structured Classification for Inverse Reinforcement Learning

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2012, EWRL 2012.

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards pdf

Martin A. Riedmiller, Thomas Lampe, Olivier Pietquin, 2017, ArXiv.

Actor-Critic Fictitious Play in Simultaneous Move Multistage Games

Olivier Pietquin, Bilal Piot, Julien Pérolat, 2018, AISTATS.

Learning Nash Equilibrium for General-Sum Markov Games from Batch Data

Olivier Pietquin, Florian Strub, Bilal Piot, 2016, AISTATS.

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning pdf

Michal Valko, Koray Kavukcuoglu, Florian Strub, 2020, NeurIPS.

Inverse Reinforcement Learning through Structured Classification

Matthieu Geist, Olivier Pietquin, Edouard Klein, 2012, NIPS.

Never Give Up: Learning Directed Exploration Strategies pdf

Daniel Guo, Charles Blundell, Alexander Pritzel, 2020, ICLR.

Neural Predictive Belief Representations pdf

Rémi Munos, Bilal Piot, Mohammad Gheshlaghi Azar, 2018, ArXiv.

Batch Policy Iteration Algorithms for Continuous Domains

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2016 .

Hindsight Credit Assignment

Doina Precup, Satinder Singh, Nicolas Heess, 2019, NeurIPS.

Observe and Look Further: Achieving Consistent Performance on Atari pdf

Rémi Munos, Olivier Pietquin, David Budden, 2018, ArXiv.

Learning from Demonstrations: Is It Worth Estimating a Reward Function?

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2013, ECML/PKDD.

World Discovery Models pdf

Rémi Munos, Florent Altché, Bilal Piot, 2019, ArXiv.

Rainbow: Combining Improvements in Deep Reinforcement Learning

Tom Schaul, David Silver, Matteo Hessel, 2017, AAAI.

Learning from Demonstrations for Real World Reinforcement Learning pdf

Tom Schaul, Andrew Sendonaris, Joel Z. Leibo, 2017, ArXiv.

Acme: A Research Framework for Distributed Reinforcement Learning pdf

Sergio Gomez Colmenarejo, Matthew W. Hoffman, Nando de Freitas, 2020, ArXiv.

Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games

Bruno Scherrer, Olivier Pietquin, Bilal Piot, 2015, ICML.

Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning pdf

Daniel Guo, Bilal Piot, Mohammad Gheshlaghi Azar, 2020, ICML.

Difference of Convex Functions Programming for Reinforcement Learning

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2014, NIPS.

Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Towards Consistent Performance on Atari using Expert Demonstrations

Rémi Munos, Olivier Pietquin, Matteo Hessel, 2018 .

Is the Bellman residual a bad proxy?

Matthieu Geist, Olivier Pietquin, Bilal Piot, 2016, NIPS.

Shaking the foundations: delusions in sequence models for interaction and control pdf

Nando de Freitas, Shane Legg, Joel Veness, 2021, ArXiv.

Laugh machine

Radoslaw Niewiadomski, Maurizio Mancini, Matthieu Geist, 2013 .