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...
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...
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...
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...
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...