|
Prof. Stone's work is exceptional in both its breadth and depth in multiagent systems. Some of his most influential work has been in reinforcement learning and multiagent learning as applied to robot soccer, autonomous traffic management, and trading agents. His contributions are ongoing, as evidenced by the growing influence of one of his recent innovations, the formulation of ad hoc teamwork as a new research area. In addition to the impact of his research, his teams' successes in international competitions, including RoboCup and the Trading Agent Competition, are particularly notable. Prof. Stone has also served the multiagent systems, AI, and RoboCup communities in various leadership roles.
|
