Search Results for author: S Roberts

Found 1 papers, 0 papers with code

Revisiting Design Choices in Offline Model Based Reinforcement Learning

no code implementations NeurIPS 2021 Cong Lu, Philip Ball, Jack Parker-Holder, Michael Osborne, S Roberts

Offline reinforcement learning enables agents to make use of large pre-collected datasets of environment transitions and learn control policies without the need for potentially expensive or unsafe online data collection.

Bayesian Optimization Model-based Reinforcement Learning +3

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