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08/14/2023
Omega-Regular Reward Machines
Reinforcement learning (RL) is a powerful approach for training agents t...
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05/26/2023
Policy Synthesis and Reinforcement Learning for Discounted LTL
The difficulty of manually specifying reward functions has led to an int...
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06/23/2022
Recursive Reinforcement Learning
Recursion is the fundamental paradigm to finitely describe potentially i...
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05/06/2022
Alternating Good-for-MDP Automata
When omega-regular objectives were first proposed in model-free reinforc...
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06/16/2021
Mungojerrie: Reinforcement Learning of Linear-Time Objectives
Reinforcement learning synthesizes controllers without prior knowledge o...
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06/12/2021
Model-free Reinforcement Learning for Branching Markov Decision Processes
We study reinforcement learning for the optimal control of Branching Mar...
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09/26/2018