Marc G. Bellemare
4 papers in the PaperMetrix corpus
Papers by this author
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A Laplacian Framework for Option Discovery in Reinforcement Learning
2017 · arXiv (Cornell University)
Representation learning and option discovery are two of the biggest challenges in reinforcement learning (RL). Proto-value functions (PVFs) are a well-known approach for representation learning in MDPs. In this paper we address the option discovery …
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An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
2019
Much human and computational effort has aimed to improve how deep reinforcement learning (DRL) algorithms perform on benchmarks such as the Atari Learning Environment. Comparatively less effort has focused on understanding what has been learned …
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An Introduction to Deep Reinforcement Learning
2018 · Foundations and Trends® in Machine Learning
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision making tasks that were previously out of …
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The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
2022 · arXiv (Cornell University)
We study the multi-step off-policy learning approach to distributional RL. Despite the apparent similarity between value-based RL and distributional RL, our study reveals intriguing and fundamental differences between the two cases in the multi-step setting. …