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Oct, 2019
元世界:多任务和元强化学习的基准和评估
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
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Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman...
TL;DR
本文提出了一个开源的模拟基准测试,包含50个不同的机器人操作任务,以评估7种最先进的元强化学习和多任务学习算法在这些任务上的表现,发现这些算法在解决多任务时仍存在挑战,为未来的研究提供了实验环境。
Abstract
meta-reinforcement learning
algorithms can enable robots to acquire new skills much more quickly, by leveraging prior experience to learn how to learn. However, much of the current research on
meta-reinforcement learnin
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