3412 search results - page 99 / 683 » Efficient Reinforcement Learning |
108
click to vote
ATAL
2007
Springer
15 years 6 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
96
Voted
ML
1998
ACM
15 years 11 days ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
116
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
123
click to vote
ALT
2006
Springer
15 years 9 months ago
2006
Springer
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
106
Voted
IROS
2007
IEEE
15 years 7 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...