1235 search results - page 135 / 247 » Reinforcement learning in a nutshell |
ATAL
2008
Springer
15 years 27 days ago
2008
Springer
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
84
Voted
ALT
2006
Springer
15 years 7 months ago
2006
Springer
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
CEC
2010
IEEE
14 years 12 months ago
2010
IEEE
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
89
Voted
ROBOCUP
2009
Springer
15 years 5 months ago
2009
Springer
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
CEC
2007
IEEE
15 years 5 months ago
2007
IEEE
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...