Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

8 code implementations • 24 Oct 2019 • Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Avnish Narayan, Hayden Shively, Adithya Bellathur, Karol Hausman, Chelsea Finn, Sergey Levine

Therefore, if the aim of these methods is to enable faster acquisition of entirely new behaviors, we must evaluate them on task distributions that are sufficiently broad to enable generalization to new behaviors.

Meta-Learning Meta Reinforcement Learning +3