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2021-05
The Importance of Pessimism in Fixed-Dataset Policy Optimization
2021-02
2021-01
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning.
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
2020-12
Autonomous navigation of stratospheric balloons using reinforcement learning.
2020-09
2020-07
Representations for Stable Off-Policy Reinforcement Learning
2020-06
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
2020-04
2020-03
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces
The Hanabi Challenge: A New Frontier for AI Research
2020-02
On Catastrophic Interference in Atari 2600 Games
2020-01
Shaping the Narrative Arc: Information-Theoretic Collaborative DialoguePaper type: Technical Paper.
Shaping the Narrative Arc: Information-Theoretic Collaborative Dialogue
(venue unknown)
(2020-01-01)
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms.
2019-12
A Geometric Perspective on Optimal Representations for Reinforcement Learning
2019-11
2019-08
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
2019-06
The Value Function Polytope in Reinforcement Learning
Statistics and Samples in Distributional Reinforcement Learning
DeepMDP: Learning Continuous Latent Space Models with Theoretical Guarantees
2019-05
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
ICML 2019
(2019-05-24)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:1906.02736 (2019-06-06)]Task-Agnostic Reinforcement Learning (TARL)
2019-04
Distributional reinforcement learning with linear function approximation
AISTATS 2019
(2019-04-11)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1902.03149 (2019-02-08)]2019-03
An Introduction to Deep Reinforcement Learning
2019-02
Hyperbolic Discounting and Learning over Multiple Horizons
2019-01
Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue.
The Value Function Polytope in Reinforcement Learning
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Temporally Extended Metrics for Markov Decision Processes.
2018-12
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
2018-11
The Barbados 2018 List of Open Issues in Continual Learning.
2018-08
Approximate Exploration through State Abstraction.
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