31 search results - page 2 / 7 » Using ILP to Improve Planning in Hierarchical Reinforcement ... |
ILP
2003
Springer
13 years 10 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
CSL
2010
Springer
13 years 4 months ago
2010
Springer
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
ICRA
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
UAI
2008
13 years 6 months ago
2008
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...