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OpenAI published Some considerations on learning to explore via meta-reinforcement learning. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Some considerations on learning to explore via meta-reinforcement learning | OpenAI March 3, 2018 Publication Some considerations on learning to explore via.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.

OpenAI Writing: Some considerations on learning to explore via meta-reinforcement learning

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openai.com/openai.com/index/some-considerations-on-learning-to-explore-via-meta-reinforcement-learning

Some considerations on learning to explore via meta-reinforcement learning

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published Mar 3, 2018seen 6dcaptured 2dhttp 200method exa

Some considerations on learning to explore via meta-reinforcement learning | OpenAI

March 3, 2018

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Some considerations on learning to explore via meta-reinforcement learning

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Abstract

We consider the problem of exploration in meta reinforcement learning. Two new meta reinforcement learning algorithms are suggested: E-MAML and E-RL². Results are presented on a novel environment we call "Krazy World" and a set of maze environments. We show E-MAML and E-RL² deliver better performance on tasks where exploration is important.

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Authors

Bradly Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever

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Some considerations on learning to explore via meta-reinforcement learning

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