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ATAL
2005
Springer
15 years 6 months ago
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Katja Verbeeck, Ann Nowé, Karl Tuyls
101
Voted
AAMAS
2007
Springer
15 years 25 days ago
Reaching pareto-optimality in prisoner's dilemma using conditional joint action learning
We consider a repeated Prisoner’s Dilemma game where two independent learning agents play against each other. We assume that the players can observe each others’ action but ar...
Dipyaman Banerjee, Sandip Sen
IUI
2003
ACM
15 years 6 months ago
Interaction tactics for socially intelligent pedagogical agents
Guidebots, or animated pedagogical agents, can enhance interactive learning environments by promoting deeper learning and improve the learner's subjective experience. Guidebo...
W. Lewis Johnson
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
15 years 6 months ago
Using GP to Model Contextual Human Behavior
To create a realistic environment, some simulations require simulated agents with human behavior pattern. Creating such agents with realistic behavior can be a tedious and time con...
Hans Fernlund, Avelino J. Gonzalez
121
Voted
IJCNN
2008
IEEE
15 years 7 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...