1233 search results - page 143 / 247 » Reinforcement learning |
162
Voted
ML
2008
ACM
15 years 3 months ago
2008
ACM
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
109
Voted
ICCBR
2009
Springer
15 years 10 months ago
2009
Springer
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
153
Voted
AIMSA
2006
Springer
15 years 7 months ago
2006
Springer
Although speech and language processing techniques achieved a relative maturity during the last decade, designing a spoken dialogue system is still a tailoring task because of the ...
118
Voted
ECAI
2008
Springer
15 years 5 months ago
2008
Springer
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
143
Voted
DAGM
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...