360 search results - page 29 / 72 » Combining Learned Discrete and Continuous Action Models |
123
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IJCAI
2003
15 years 5 months ago
2003
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
155
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ATVA
2006
Springer
15 years 8 months ago
2006
Springer
We address the problem of model checking hybrid systems which exhibit nontrivial discrete behavior and thus cannot be treated by considering the discrete states one by one, as most...
175
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COMPGEOM
2004
ACM
15 years 8 months ago
2004
ACM
We introduce a new approach to the problem of collision detection between a rotating milling-cutter of an NC-machine and a model of a solid workpiece, as the rotating cutter conti...
117
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
143
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ROBOCUP
2007
Springer
15 years 10 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...