Leveraging Procedural Generation to Benchmark Reinforcement Learning

3 Dec 2019Karl CobbeChristopher HesseJacob HiltonJohn Schulman

In this report, we introduce Procgen Benchmark, a suite of 16 procedurally generated game-like environments designed to benchmark both sample efficiency and generalization in reinforcement learning. We believe that the community will benefit from increased access to high quality training environments, and we provide detailed experimental protocols for using this benchmark... (read more)

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