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An Investigation of Time Reversal Symmetry in Reinforcement Learning
We observe that utilizing the structure of time reversal in an MDP allows every environment transition experienced by an agent to be transformed into a feasible reverse-time transition, effectively doubling the number of experiences in the environment.
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