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AIPS
2000
13 years 7 months ago
Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot
Planning for real robots to act in dynamic and uncertain environments is a challenging problem. A complete model of the world is not viable and an integration of deliberation and ...
Manuela M. Veloso, Elly Winner, Scott Lenser, Jame...
ROBOCUP
2007
Springer
167views Robotics» more  ROBOCUP 2007»
14 years 3 days ago
Cooperative/Competitive Behavior Acquisition Based on State Value Estimation of Others
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
Kentarou Noma, Yasutake Takahashi, Minoru Asada
AIM
1998
13 years 5 months ago
CMUNITED-97: RoboCup-97 Small-Robot World Champion Team
Robotic soccer is a challenging research domain which involves multiple agents that need to collaborate in an adversarial environment to achieve specificobjectives. In this paper...
Manuela M. Veloso, Peter Stone, Kwun Han
LAMAS
2005
Springer
13 years 11 months ago
An Overview of Cooperative and Competitive Multiagent Learning
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
13 years 11 months ago
Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Yasutake Takahashi, Kazuhiro Edazawa, Minoru Asada