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On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork.

, , , , , and . AAMAS, page 140-142. ACM, (2023)

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A coordination mechanism for swarm navigation: experiments and analysis., and . AAMAS (3), page 1203-1206. IFAAMAS, (2008)Every team deserves a second chance: an extended study on predicting team performance., , , and . Auton. Agents Multi Agent Syst., 31 (5): 1003-1054 (2017)The paradox of productivity during quarantine: an agent-based simulation., , and . CoRR, (2020)Traffic control for a swarm of robots: Avoiding group conflicts., and . IROS, page 1949-1954. IEEE, (2009)A multi agent systems for design simulation framework: experiments with virtual physical social feedback for architecture., , , and . SpringSim (SimAUD), page 205-212. SCS/ACM, (2015)Reward Certification for Policy Smoothed Reinforcement Learning., , , , , and . CoRR, (2023)Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (2): 2492-2504 (2023)Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area., , and . Robotics Auton. Syst., (2023)Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach., , , , and . AAMAS, page 1019-1027. International Foundation for Autonomous Agents and Multiagent Systems, (2020)On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork., , , , , and . AAMAS, page 140-142. ACM, (2023)