110 search results - page 7 / 22 » Learning Action Strategies for Planning Domains |
141
click to vote
ILP
2000
Springer
15 years 9 months ago
2000
Springer
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
189
click to vote
UAI
2008
15 years 7 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...
159
click to vote
ICCBR
2005
Springer
15 years 11 months ago
2005
Springer
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
176
click to vote
COLT
2010
Springer
15 years 4 months ago
2010
Springer
We consider the problem of planning in a stochastic and discounted environment with a limited numerical budget. More precisely, we investigate strategies exploring the set of poss...
149
click to vote
NIPS
2003
15 years 7 months ago
2003
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...