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» Possibilistic Planning: Representation and Complexity
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AGENTS
2001
Springer
14 years 1 months ago
Implementing soft real-time agent control
Real-time control has become increasingly important as technologies are moved from the lab into real world situations. The complexity associated with these systems increases as co...
Régis Vincent, Bryan Horling, Victor R. Les...
UAI
2008
13 years 10 months ago
CORL: A Continuous-state Offset-dynamics Reinforcement Learner
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinfor...
Emma Brunskill, Bethany R. Leffler, Lihong Li, Mic...
UAI
2008
13 years 10 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
CLIMA
2004
13 years 10 months ago
Symbolic Negotiation with Linear Logic
Abstract. Negotiation over resources and multi-agent planning are important issues in multi-agent systems research. It has been demonstrated [19] how symbolic negotiation and distr...
Peep Küngas, Mihhail Matskin
IJCAI
1989
13 years 10 months ago
Introducing Actions into Qualitative Simulation
Many potential uses of qualitative physics, such as robot planning and intelligent computer-aided engineering, require integrating physics with actions taken by agents. This paper...
Kenneth D. Forbus