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DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning.

, , , , and . AAAI, page 7647-7656. AAAI Press, (2021)

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Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees., , , , , and . CDC, page 5338-5343. IEEE, (2019)Towards Verifiable and Safe Model-Free Reinforcement Learning., , and . OVERLAY@AI*IA, volume 2509 of CEUR Workshop Proceedings, page 1. CEUR-WS.org, (2019)Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic., , , , and . CoRR, (2021)DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning., , , , and . CoRR, (2019)Safe and certified reinforcement learning with logical constraints.. University of Oxford, UK, (2020)British Library, EThOS.Jump Operator Planning: Goal-Conditioned Policy Ensembles and Zero-Shot Transfer., , and . CoRR, (2020)Logically-Constrained Neural Fitted Q-Iteration., , and . CoRR, (2018)Modular Deep Reinforcement Learning with Temporal Logic Specifications., , , and . CoRR, (2019)Cautious Reinforcement Learning with Logical Constraints., , and . AAMAS, page 483-491. International Foundation for Autonomous Agents and Multiagent Systems, (2020)From Game-theoretic Multi-agent Log Linear Learning to Reinforcement Learning., and . CoRR, (2018)