Formal Policy Synthesis for Continuous-Space Systems via Reinforcement Learning

4 May 2020Milad KazemiSadegh Soudjani

This paper studies data-driven techniques for satisfying temporal properties on unknown stochastic processes that have continuous spaces. We show how reinforcement learning (RL) can be applied for computing sub-optimal policies that are finite-memory and deterministic... (read more)

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