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2024 ICML ICML 2024

Switching the Loss Reduces the Cost in Batch Reinforcement Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári

Topics

Reinforcement Learning > Methods > Offline RL

Keywords

fitted q-iteration batch reinforcement learning log loss near-optimal policy accumulated cost optimal achievable cost
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