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2021-08
Deep Reinforcement Learning at the Edge of the Statistical Precipice
2021-05
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
The Importance of Pessimism in Fixed-Dataset Policy Optimization
2021-02
Metrics and continuity in reinforcement learning
2020-12
Autonomous navigation of stratospheric balloons using reinforcement learning.
2020-07
Representations for Stable Off-Policy Reinforcement Learning
2020-06
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms.
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2003.12239 (2020-03-27)]2020-04
On Bonus Based Exploration Methods In The Arcade Learning Environment
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction.
2020-03
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces
The Hanabi Challenge: A New Frontier for AI Research
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)
On Catastrophic Interference in Atari 2600 Games
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.
2019-07
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
2019-06
DeepMDP: Learning Continuous Latent Space Models with Theoretical Guarantees
2019-05
Statistics and Samples in Distributional Reinforcement Learning.
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)]The Value Function Polytope in Reinforcement Learning
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
(venue unknown)
(2019-03-31)
nowpublishers.comPDF[Also on arXiv preprint arXiv:1811.12560 (2018-11-30)]2019-02
Hyperbolic Discounting and Learning over Multiple Horizons
2019-01
Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue.
A Geometric Perspective on Optimal Representations for Reinforcement Learning
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Temporally Extended Metrics for Markov Decision Processes.
2018-12
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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