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Researcher profile

Gabriel Dulac-Arnold

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. RL Unplugged: Benchmarks for Offline Reinforcement Learning.

    2020 · arXiv (Cornell University)

    Offline methods for reinforcement learning have a potential to help bridge the gap between reinforcement learning research and real-world applications. They make it possible to learn policies from offline datasets, thus overcoming concerns associated with …

  2. A Geometric Perspective on Self-Supervised Policy Adaptation

    2020 · arXiv (Cornell University)

    One of the most challenging aspects of real-world reinforcement learning (RL) is the multitude of unpredictable and ever-changing distractions that could divert an agent from what was tasked to do in its training environment. While …