Gotta Learn Fast: A new benchmark for generalization in RL Gotta Learn Fast: A new benchmark for generalization in RL

Abstract

In this report, we present a new reinforcement learning (RL) benchmark based on the Sonic the Hedgehog™ 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.

In this report, we present a new reinforcement learning (RL) benchmark based on the Sonic the Hedgehog™ 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.

* Exploration & Games

Authors

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

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