Pablo Samuel Castro

发表

Dopamine: A Research Framework for Deep Reinforcement Learning pdf

Marc G. Bellemare, Saurabh Kumar, Pablo Samuel Castro, 2018, ArXiv.

Autonomous navigation of stratospheric balloons using reinforcement learning

Sameera S. Ponda, Marlos C. Machado, Marc G. Bellemare, 2020, Nature.

Rigging the Lottery: Making All Tickets Winners pdf

Erich Elsen, Jacob Menick, Trevor Gale, 2020, ICML.

Inverse Reinforcement Learning with Multiple Ranked Experts pdf

Shijian Li, Pablo Samuel Castro, Daqing Zhang, 2019, ArXiv.

Estimating Policy Functions in Payment Systems using Reinforcement Learning

Han Du, Pablo Samuel Castro, Rodney Garratt, 2020, SSRN Electronic Journal.

iBOAT: Isolation-Based Online Anomalous Trajectory Detection

Lin Sun, Daqing Zhang, Shijian Li, 2013, IEEE Transactions on Intelligent Transportation Systems.

GANterpretations pdf

Pablo Samuel Castro, 2020, ArXiv.

A Comparative Analysis of Expected and Distributional Reinforcement Learning

Marc G. Bellemare, Clare Lyle, Pablo Samuel Castro, 2019, AAAI.

Using Linear Programming for Bayesian Exploration in Markov Decision Processes

Doina Precup, Pablo Samuel Castro, Doina Precup, 2007, IJCAI.

Using Bisimulation for Policy Transfer in MDPs

Doina Precup, Pablo Samuel Castro, Doina Precup, 2010, AAAI.

Equivalence Relations in Fully and Partially Observable Markov Decision Processes

Doina Precup, Prakash Panangaden, Pablo Samuel Castro, 2009, IJCAI.

Distributional reinforcement learning with linear function approximation

Nicolas Le Roux, Marc G. Bellemare, Pablo Samuel Castro, 2019, AISTATS.

Scalable methods for computing state similarity in deterministic Markov Decision Processes

Pablo Samuel Castro, P. S. Castro, 2019, AAAI.

Shaping the Narrative Arc: Information-Theoretic Collaborative DialoguePaper type: Technical Paper

Marc G. Bellemare, George F. Foster, Colin Cherry, 2020, ICCC.

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning pdf

Marlos C. Machado, Marc G. Bellemare, Rishabh Agarwal, 2021, ICLR.

Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research pdf

Pablo Samuel Castro, Johan S. Obando-Ceron, 2020, ArXiv.

Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces

Daqing Zhang, Shijian Li, Pablo Samuel Castro, 2012, Pervasive.

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents pdf

Marc G. Bellemare, Rui Wang, Felipe Petroski Such, 2018, IJCAI.

From taxi GPS traces to social and community dynamics

Daqing Zhang, Gang Pan, Shijian Li, 2013, ACM Comput. Surv..

Real Time Anomalous Trajectory Detection and Analysis

Lin Sun, Daqing Zhang, Shijian Li, 2012, Mobile Networks and Applications.

Performing Structured Improvisations with Pre-trained Deep Learning Models

Pablo Samuel Castro, 2019, ICCC.

A Geometric Perspective on Optimal Representations for Reinforcement Learning

Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, 2019, NeurIPS.

Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue pdf

Marc G. Bellemare, George F. Foster, Colin Cherry, 2019, ArXiv.

Real-Time Detection of Anomalous Taxi Trajectories from GPS Traces

Lin Sun, Daqing Zhang, Shijian Li, 2011, MobiQuitous.

Methods for Computing State Similarity in Markov Decision Processes pdf

Doina Precup, Prakash Panangaden, Pablo Samuel Castro, 2006, UAI.

The Linear Programming Approach to Approximate Dynamic Programming. (2, 3)

Erick Delage, Pablo Samuel Castro, 2006 .

Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation pdf

Pablo Samuel Castro, Maria Attarian, P. S. Castro, 2018, ArXiv.

Smarter Sampling in Model-Based Bayesian Reinforcement Learning

Doina Precup, Pablo Samuel Castro, Doina Precup, 2010, ECML/PKDD.

Automatic Construction of Temporally Extended Actions for MDPs Using Bisimulation Metrics

Doina Precup, Pablo Samuel Castro, Doina Precup, 2011, EWRL.

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning pdf

Marlos C. Machado, Pablo Samuel Castro, Marc G Bellemare, 2021, ICLR 2021 Spotlight.

Deep Reinforcement Learning at the Edge of the Statistical Precipice pdf

Marc G. Bellemare, Aaron C. Courville, Rishabh Agarwal, 2021, NeurIPS.

MICo: Learning improved representations via sampling-based state similarity for Markov decision processes pdf

Prakash Panangaden, Mark Rowland, Pablo Samuel Castro, 2021, ArXiv.

Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research

Pablo Samuel Castro, Johan S. Obando-Ceron, 2021, ICML.

MICo: Improved representations via sampling-based state similarity for Markov decision processes

Prakash Panangaden, Mark Rowland, Pablo Samuel Castro, 2021, NeurIPS.

A general class of surrogate functions for stable and efficient reinforcement learning

Nicolas Le Roux, Marlos C. Machado, Matthieu Geist, 2021 .

Metrics and continuity in reinforcement learning

Marc G. Bellemare, Charline Le Lan, Pablo Samuel Castro, 2021, AAAI.

The Difficulty of Passive Learning in Deep Reinforcement Learning pdf

Georg Ostrovski, Will Dabney, Pablo Samuel Castro, 2021, NeurIPS.

Losses, Dissonances, and Distortions pdf

Pablo Samuel Castro, 2021, ArXiv.

A functional mirror ascent view of policy gradient methods with function approximation pdf

Nicolas Le Roux, Marlos C. Machado, Matthieu Geist, 2021, ArXiv.

Mean Replacement Pruning

Nicolas Le Roux, Léon Bottou, Pablo Samuel Castro, 2018 .