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» The Robocup Physical Agent Challenge: Phase I
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AR
1998
124views more  AR 1998»
13 years 5 months ago
The CMUnited-98 champion small-robot team
Robotic soccer presents a large spectrum of challenging research opportunities. In this article, we present the main research and technical contributions of our champion CMUnited-...
Manuela M. Veloso, Michael H. Bowling, Peter Stone
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
13 years 11 months ago
Evolving visually guided agents in an ambiguous virtual world
The fundamental challenge faced by any visual system within natural environments is the ambiguity caused by the fact that light that falls on the system’s sensors conflates mult...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
ATAL
2008
Springer
13 years 8 months ago
Analysis of an evolutionary reinforcement learning method in a multiagent domain
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
13 years 10 months ago
Neuroevolution of mobile ad hoc networks
This paper describes a study of the evolution of distributed behavior, specifically the control of agents in a mobile ad hoc network, using neuroevolution. In neuroevolution, a p...
David B. Knoester, Heather Goldsby, Philip K. McKi...
ATAL
2009
Springer
13 years 7 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso