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FLAIRS
2008
13 years 10 months ago
A Case-Based Reasoning Approach to Imitating RoboCup Players
We describe an effort to train a RoboCup soccer-playing agent playing in the Simulation League using casebased reasoning. The agent learns (builds a case base) by observing the be...
Michael W. Floyd, Babak Esfandiari, Kevin Lam
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 9 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
IJCAI
2007
13 years 9 months ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...
ICCCN
2008
IEEE
14 years 2 months ago
Control Message Reduction Techniques in Backward Learning Ad Hoc Routing Protocols
—Most existing wireless ad hoc routing protocols rely upon the use of backward learning technique with explicit control messages to route packets. In this paper we propose a set ...
Navodaya Garepalli, Kartik Gopalan, Ping Yang
ICONIP
2010
13 years 6 months ago
Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control
Abstract. In this paper, we propose a novel approach for adaptive control of robotic manipulators. Our approach uses a representation of inverse dynamics models learned from a vari...
Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu...