Team-Partitioned, Opaque-Transition Reinforced Learning
暂无分享,去创建一个
[1] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[2] Ming Tan,et al. Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents , 1997, ICML.
[3] Michael L. Littman,et al. Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach , 1993, NIPS.
[4] Michael L. Littman,et al. Markov Games as a Framework for Multi-Agent Reinforcement Learning , 1994, ICML.
[5] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[6] Hitoshi Matsubara,et al. Learning Cooperative Behavior in Multi-Agent Environment - A Case Study of Choice of Play-Plans in Soccer , 1996, PRICAI.
[7] James A. Hendler,et al. Co-evolving Soccer Softbot Team Coordination with Genetic Programming , 1997, RoboCup.
[8] Manuela M. Veloso,et al. Using Decision Tree Confidence Factors for Multiagent Control , 1997, RoboCup.
[9] Manuela M. Veloso,et al. The CMUnited-97 Small Robot Team , 1997, RoboCup.
[10] Hiroaki Kitano,et al. RoboCup: A Challenge Problem for AI , 1997, AI Mag..
[11] Manuela M. Veloso,et al. Layered Approach to Learning Client Behaviors in the Robocup Soccer Server , 1998, Appl. Artif. Intell..
[12] Manuela M. Veloso,et al. Using decision tree confidence factors for multi-agent control , 1998, AGENTS '98.
[13] Manuela M. Veloso,et al. Towards collaborative and adversarial learning: a case study in robotic soccer , 1998, Int. J. Hum. Comput. Stud..