A Benchmark for Low-Switching-Cost Reinforcement Learning

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We systematically study a wide collection of policy-switching approaches, including theoretically guided criteria, policy-difference-based methods, and non-adaptive baselines.

Authors

Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu

Related Topics

Rl algorithms

Criteria

Low-switching - cost rl

Policy-difference - based methods

Low-switching - cost rl algorithms

Non-adaptive baselines

Policy-switching approaches

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