Learning to Reach the Pareto Optimal Nash Equilibrium as a Team
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Implicit Negotiation in Repeated Games
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
Autonomous Agents and Multi-Agent Systems
Learning against multiple opponents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Adaptive channel allocation spectrum etiquette for cognitive radio networks
Mobile Networks and Applications
If multi-agent learning is the answer, what is the question?
Artificial Intelligence
Perspectives on multiagent learning
Artificial Intelligence
Generalized multiagent learning with performance bound
Autonomous Agents and Multi-Agent Systems
Regret based dynamics: convergence in weakly acyclic games
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Learning bidding strategies with autonomous agents in environments with unstable equilibrium
Decision Support Systems
Proceedings of the 10th ACM conference on Electronic commerce
Performance bounded reinforcement learning in strategic interactions
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
On Fixed Convex Combinations of No-Regret Learners
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Efficient no-regret multiagent learning
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Learning against opponents with bounded memory
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Multiagent learning in large anonymous games
Journal of Artificial Intelligence Research
Unifying convergence and no-regret in multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Learning to achieve socially optimal solutions in general-sum games
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Computing pure Bayesian-Nash equilibria in games with finite actions and continuous types
Artificial Intelligence
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