168 search results - page 7 / 34 » Optimism in Reinforcement Learning Based on Kullback-Leibler... |
204
click to vote
AAAI
2012
13 years 8 months ago
2012
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
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...
141
click to vote
UAI
2001
15 years 7 months ago
2001
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
155
click to vote
NIPS
1997
15 years 7 months ago
1997
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
176
click to vote
NAACL
2001
15 years 7 months ago
2001
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...