Papers › Gotta Learn Fast: A New Benchmark for Generalization in RL

Gotta Learn Fast: A New Benchmark for Generalization in RL

10 Apr 2018arXiv:1804.03720archive 2025-07-28

Alex Nichol, Vicki Pfau, Christopher Hesse, Oleg Klimov, John Schulman

In this report, we present a new reinforcement learning (RL) benchmark based on the Sonic the Hedgehog (TM) video game franchise. This benchmark is intended to measure the performance of transfer learning and few-shot learning algorithms in the RL domain. We also present and evaluate some baseline algorithms on the new benchmark.

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dsapandora/s_cera mentioned on GitHubtfGPL-3.0 report

goolulusaurs/WorldModels mentioned on GitHubpytorch report

vcadillog/PPO-Mario-Bros-Tensorflow-2 mentioned on GitHubtf report

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Few-Shot Learning Reinforcement Learning Reinforcement Learning (RL)Transfer Learning reinforcement-learning

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