Guni Sharon
Postdoctoral Fellow
Guni's thesis research focused on two complicated variants of the path finding problem on an explicitly given graph: (1) multiagent path-finding where paths should be assigned to multiple agents, each with a unique start and goal vertices such that the paths do not overlap and (2) real-time agent-centered where a single agent must physically find its way from start to goal while utilizing a bounded amount of time and memory prior to performing each physical step. These days Guni is working towards integrating his past research into real time traffic management of autonomous vehicles.
A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections 2017
Guni Sharon and Peter Stone, In Proceedings of the 2nd International Workshop on Agent-based modeling of urban systems (ABMUS-2017), Sao Paulo, Brazil, May 2017.
Multirobot Symbolic Planning under Temporal Uncertainty 2017
Shiqi Zhang, Yuqian Jiang, Guni Sharon, and Peter Stone, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Sytems (AAMAS), Sao Paulo, Brazil, May 2017.
Network-wide adaptive tolling for connected and automated vehicles 2017
Guni Sharon, Michael W. Levin, Josiah P. Hanna, Tarun Rambha, Stephen D. Boyles, and Peter Stone, Transportation Research Part C, Vol. 84 (2017), pp. 142--157.
Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks 2017
Guni Sharon, Josiah P. Hanna, Tarun Rambha, Michael W. Levin, Michael Albert, Stephen D. Boyles, and Peter Stone, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2017), Sao Paulo, Brazil, May 2017.
Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput 2016
Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Albert, Peter Stone, and Stephen D. Boyles, In Proceedings of the 9th International Workshop on Agents in Traffic and Transportation (ATT 2016), New York, NY, USA, July 2016.
Currently affiliated with Learning Agents