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TROB
2002
127views more  TROB 2002»
13 years 9 months ago
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation
We consider the problem of having a team of Unmanned Aerial Vehicles (UAV) and Unmanned Ground Vehicles (UGV) pursue a second team of evaders while concurrently building a map in a...
René Vidal, Omid Shakernia, H. Jin Kim, Dav...
ML
2007
ACM
104views Machine Learning» more  ML 2007»
13 years 9 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
13 years 8 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
IJEB
2010
67views more  IJEB 2010»
13 years 8 months ago
Factors influencing e-marketplace adoption in agricultural micro-enterprises
: E-marketplaces present a business-to-business (B2B) trading environment in which firms can benefit from increased choice among trading partners, and other efficiencies gained thr...
Gregory J. Brush, Duncan McIntosh
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 8 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone