A model-free RL algorithm learns policies by sequentially maximizing safety probability, then LTL satisfaction probability, then discounted QoC rewards in unknown MDPs.
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Model-Free Learning of Safe yet Effective Controllers
A model-free RL algorithm learns policies by sequentially maximizing safety probability, then LTL satisfaction probability, then discounted QoC rewards in unknown MDPs.