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1910.10897
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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
24 October 2019
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
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Papers citing
"Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning"
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End-to-End Affordance Learning for Robotic Manipulation
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Meta-Reinforcement Learning via Language Instructions
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256
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Minimum Description Length Control
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124
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291
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Masked World Models for Visual Control
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Towards Understanding How Machines Can Learn Causal Overhypotheses
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