Reinforcement learning (RL) is a powerful approach for training agents t...
The difficulty of manually specifying reward functions has led to an int...
Recursion is the fundamental paradigm to finitely describe potentially
i...
When omega-regular objectives were first proposed in model-free reinforc...
Reinforcement learning synthesizes controllers without prior knowledge o...
We study reinforcement learning for the optimal control of Branching Mar...
A novel reinforcement learning scheme to synthesize policies for
continu...
We provide the first solution for model-free reinforcement learning of
ω...