4345 search results - page 12 / 869 » Relational Reinforcement Learning |
103
click to vote
CEEMAS
2003
Springer
15 years 5 months ago
2003
Springer
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
113
click to vote
NIPS
2001
15 years 1 months ago
2001
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
84
Voted
GECCO
2006
Springer
15 years 3 months ago
2006
Springer
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
ECML
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agentās policy is represented as a classiļ¬er mapping states to actions....
127
click to vote
COST
2009
Springer
14 years 9 months ago
2009
Springer
Synchrony is claimed by psychology as a crucial parameter of any social interaction: to give to human a feeling of natural interaction, a feeling of agency [17], an agent must be a...