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Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications.

, , and . IJCAI, page 1587-1593. AAAI Press, (2015)

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Designing petri net supervisors for multi-agent systems from LTL specifications., and . AAMAS, page 1253-1254. IFAAMAS, (2011)Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks., , , and . IROS, page 4323-4328. IEEE, (2020)On the Notion of Uncontrollable Marking in Supervisory Control of Petri Nets., and . IEEE Trans. Automat. Contr., 59 (11): 3069-3074 (2014)Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces., , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 590-597. IOS Press, (2023)A Framework for Learning from Demonstration with Minimal Human Effort., , and . CoRR, (2023)Risk-Averse Bayes-Adaptive Reinforcement Learning., , and . NeurIPS, page 1142-1154. (2021)Negotiated Path Planning for Non-Cooperative Multi-Robot Systems., , , , and . AAMAS, page 472-480. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Context-Aware Modelling for Multi-Robot Systems Under Uncertainty., , , , and . AAMAS, page 1228-1236. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Long-Run Multi-Robot Planning With Uncertain Task Durations., , , and . AAMAS, page 1750-1752. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications., , and . IJCAI, page 1587-1593. AAAI Press, (2015)