AINeutralarXiv – CS AI · 6h ago5/10
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Answer-Set-Programming-based Abstractions for Reinforcement Learning
Researchers have developed an Answer-Set Programming (ASP) based implementation of the CARCASS framework to improve Reinforcement Learning abstractions for complex state spaces. The approach leverages ASP's declarative modeling capabilities as an alternative to Prolog, demonstrating promising results in Blocks World and Minigrid domains when domain knowledge is available.