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cs.FL2022
Alternating Good-for-MDP Automata
Ernst Moritz Hahn, Mateo Perez, Sven Schewe +3
When omega-regular objectives were first proposed in model-free reinforcement learning (RL) for controlling MDPs, deterministic Rabin automata were used in an attempt to provide a…
cs.FL2019
Good-for-MDPs Automata for Probabilistic Analysis and Reinforcement Learning
Ernst Moritz Hahn, Mateo Perez, Fabio Somenzi +3
We characterize the class of nondeterministic -automata that can be used for the analysis of finite Markov decision processes (MDPs). We call these automata `good-for-MDPs' (GFM…