most citedEnhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 2 cited

Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments

Desik Rengarajan, Sapana Chaudhary, Jaewon Kim +2

Meta reinforcement learning (Meta-RL) is an approach wherein the experience gained from solving a variety of tasks is distilled into a meta-policy. The meta-policy, when adapted ov…