A category-theoretic compositional framework for behavioral semantics in RL that supports safe transfer of structures under state abstraction and sound quantitative metrics.
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Compositional Behavioral Semantics for State Abstraction in Reinforcement Learning
A category-theoretic compositional framework for behavioral semantics in RL that supports safe transfer of structures under state abstraction and sound quantitative metrics.