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Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes.

, , , , and . AAAI, page 20143-20150. AAAI Press, (2024)

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Automatic Synthesis of Efficient Regular Strategies in Adversarial Patrolling Games., , , and . AAMAS, page 659-666. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Adversarial Patrolling with Drones., , and . AAMAS, page 629-637. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Fast Computation of Strong Control Dependencies., , , and . CAV (2), volume 12760 of Lecture Notes in Computer Science, page 887-910. Springer, (2021)On-the-fly adaptation of patrolling strategies in changing environments., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 244-254. PMLR, (2022)Fast Computation of Strong Control Dependencies., , , and . CoRR, (2020)General Optimization Framework for Recurrent Reachability Objectives., , , and . IJCAI, page 4642-4648. ijcai.org, (2022)Minimizing Running Costs in Consumption Systems., , , and . CAV, volume 8559 of Lecture Notes in Computer Science, page 457-472. Springer, (2014)Minimizing Expected Intrusion Detection Time in Adversarial Patrolling., , , and . AAMAS, page 1660-1662. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Mean Payoff Optimization for Systems of Periodic Service and Maintenance., , , and . IJCAI, page 5386-5393. ijcai.org, (2023)Regstar: efficient strategy synthesis for adversarial patrolling games., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 471-481. AUAI Press, (2021)