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CI
2005
106views more  CI 2005»
15 years 4 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
NIPS
2003
15 years 5 months ago
All learning is Local: Multi-agent Learning in Global Reward Games
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efï¬...
Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
ECIS
2003
15 years 5 months ago
Towards an interdisciplinary theory of networks
Research problems in ICT networks often comprise coordination problems of information infrastructures and require state-of-the-art methods of coping with complex system dynamics. ...
Tim Weitzel, Oliver Wendt, Wolfgang König
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
15 years 10 months ago
Adaptive Play Q-Learning with Initial Heuristic Approximation
Abstract— The problem of an effective coordination of multiple autonomous robots is one of the most important tasks of the modern robotics. In turn, it is well known that the lea...
Andriy Burkov, Brahim Chaib-draa
CHI
2004
ACM
16 years 4 months ago
Forecasting presence and availability
We present methods employed in COORDINATE, a prototype service that supports collaboration and communication by learning predictive models that provide forecasts of users' pr...
Joe Tullio, James Begole, Eric Horvitz, Elizabeth ...