179 search results - page 3 / 36 » Learning Relational Navigation Policies |
AIPS
2007
14 years 12 months ago
2007
NIPS
2003
14 years 11 months ago
2003
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
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Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Policy gradient approaches are a powerful instrument for learning how to interact with the environment. Existing approaches have focused on propositional and continuous domains on...
EPIA
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...