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Model-Free Reinforcement Learning for Optimal Control of Markov Decision Processes Under Signal Temporal Logic Specifications.

, , and . CDC, page 2252-2257. IEEE, (2021)

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Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints., , , , , and . CoRR, (2022)A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints., , and . CoRR, (2020)Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications., , and . CoRR, (2020)Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation., , and . CoRR, (2023)Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers., , , , and . Allerton, page 1-8. IEEE, (2022)Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes., , , , , and . CoRR, (2023)A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints., , and . AAAI, page 8030-8037. AAAI Press, (2021)Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees., , , , and . CoRR, (2020)Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 949-958. PMLR, (2022)Optimal Control of Discounted-Reward Markov Decision Processes Under Linear Temporal Logic Specifications., , and . ACC, page 1268-1274. IEEE, (2021)