playing-games-10
Procgen Hard (100M)
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Christopher Hesse, John Schulman, K. Cobbe, Jacob Hilton•Mon Dec 02 2019
This work empirically demonstrate that diverse environment distributions are essential to adequately train and evaluate RL agents, thereby motivating the extensive use of procedural content generation and uses this benchmark to investigate the effects of scaling model size.
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