Thomas Eiter
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126
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2026
Answer-Set-Programming-based Abstractions for Reinforcement Learning
This paper proposes using Answer-Set Programming (ASP) to implement and evaluate CARCASS abstractions, demonstrating a promising method for constructing powerful abstractions for Reinforcement Learning in domains with available domain knowledge.
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