252 search results - page 29 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
166
Voted
PKDD
2010
Springer
15 years 15 days ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
128
Voted
DIS
2009
Springer
15 years 9 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
101
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
We propose a modified discrete HMM that includes a feature weighting discrimination component. We assume that the feature space is partitioned into subspaces and that the relevan...
146
Voted
CSL
2010
Springer
15 years 2 months ago
2010
Springer
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
116
Voted
AI
2006
Springer
15 years 6 months ago
2006
Springer
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...