1233 search results - page 105 / 247 » Feudal Reinforcement Learning |
135
Voted
NAACL
2001
15 years 4 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...
120
Voted
NIPS
1997
15 years 4 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...
135
Voted
ICMLA
2008
15 years 4 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
122
click to vote
ATAL
2008
Springer
15 years 5 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
116
Voted
CEC
2010
IEEE
15 years 4 months ago
2010
IEEE
In modern racing games programming non-player characters with believable and sophisticated behaviors is getting increasingly challenging. Recently, several works in the literature ...