Search Results for author: Michael Rosenthal

Found 3 papers, 2 papers with code

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds

1 code implementation24 Oct 2022 Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zachary Polizzi, James B. Simon, Kanjun Qiu

As a benchmark tailored for studying RL generalization, we introduce Avalon, a set of tasks in which embodied agents in highly diverse procedural 3D worlds must survive by navigating terrain, hunting or gathering food, and avoiding hazards.

Navigate Reinforcement Learning (RL)

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