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ICML
2003
IEEE
14 years 9 months ago
Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Jeff L. Stimpson, Michael A. Goodrich
ATAL
2009
Springer
14 years 3 months ago
Leader-follower strategies for robotic patrolling in environments with arbitrary topologies
Game theoretic approaches to patrolling have become a topic of increasing interest in the very last years. They mainly refer to a patrolling mobile robot that preserves an environ...
Nicola Basilico, Nicola Gatti, Francesco Amigoni
SAGT
2009
Springer
102views Game Theory» more  SAGT 2009»
14 years 3 months ago
Free-Riding and Free-Labor in Combinatorial Agency
Abstract. This paper studies a setting where a principal needs to motivate teams of agents whose efforts lead to an outcome that stochastically depends on the combination of agent...
Moshe Babaioff, Michal Feldman, Noam Nisan
AAAI
2010
13 years 10 months ago
Convergence to Equilibria in Plurality Voting
Multi-agent decision problems, in which independent agents have to agree on a joint plan of action or allocation of resources, are central to AI. In such situations, agents' ...
Reshef Meir, Maria Polukarov, Jeffrey S. Rosensche...
AI
1999
Springer
13 years 8 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda