Chris Murray
Papers
1
Total Citations
20
H-Index
1
About
Chris Murray is a leading researcher in multi-agent systems and game-theoretic robotics, with a focus on enabling autonomous agents to cooperate in complex, real-world environments. His work addresses the fundamental challenge of planning when multiple agents have partially aligned goals, moving beyond zero-sum assumptions to model realistic interactions. His most influential contribution, the 2006 paper "Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games," introduced a scalable computational framework for finding stable, cooperative strategies in general-sum stochastic games. This work, which has garnered over 20 citations, provides a rigorous method for approximating subgame perfect equilibria—a key concept in game theory—allowing robots to negotiate and commit to mutually beneficial plans. Murray’s research has been pivotal in bridging theoretical game theory with practical multi-robot coordination, influencing subsequent work in autonomous driving, warehouse logistics, and human-robot collaboration. His contributions are recognized for their mathematical depth and direct applicability to real-world planning problems where cooperation is essential but not guaranteed.
Research Focus
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Top Papers
- 1