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News/The Terminal Representation in Reinforcement Learning
arxiv
PublishedJune 1, 2026 at 4:00 AM
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The Terminal Representation in Reinforcement Learning

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arXiv:2605.31289v1 Announce Type: cross Abstract: Representation learning is a powerful tool for spatio-temporal abstraction within reinforcement learning (RL). Two well established approaches are through the successor representation (SR) and the default representation (DR). The SR encodes states by

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