论文信息 - Learning Queuing Strategies in Human-Multi-Robot Interaction - 字舞流文

Learning Queuing Strategies in Human-Multi-Robot Interaction

Alessandro Farinelli | Masoume M. Raeissi

[1] Neil Immerman,et al. The Complexity of Decentralized Control of Markov Decision Processes , 2000, UAI.

[2] Sean Luke,et al. Cooperative Multi-Agent Learning: The State of the Art , 2005, Autonomous Agents and Multi-Agent Systems.

[3] Karl Tuyls,et al. Evolutionary Dynamics of Multi-Agent Learning: A Survey , 2015, J. Artif. Intell. Res..

[4] Katia P. Sycara,et al. Task Switching and Single vs. Multiple Alarms for Supervisory Control of Multiple Robots , 2014, HCI.

[5] P. Naor. The Regulation of Queue Size by Levying Tolls , 1969 .

[6] Noa Agmon,et al. Intelligent agent supporting human-multi-robot team collaboration , 2015, Artif. Intell..

[7] Katia P. Sycara,et al. Scheduling operator attention for Multi-Robot Control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8] Victor R. Lesser,et al. Multi-agent policies: from centralized ones to decentralized ones , 2002, AAMAS '02.

[9] Claudia V. Goldman,et al. Optimizing information exchange in cooperative multi-agent systems , 2003, AAMAS '03.

[10] Peter Dayan,et al. Q-learning , 1992, Machine Learning.

[11] Alessandro Farinelli,et al. Interacting with team oriented plans in multi-robot systems , 2016, Autonomous Agents and Multi-Agent Systems.

[12] Archie C. Chapman,et al. Flood disaster mitigation: a real-world challenge problem for multi-agent unmanned surface vehicles , 2011, AAMAS'11.