4544 search results - page 82 / 909 » Reinforcement Learning with Time |
GECCO
2011
Springer
13 years 11 days ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
FLAIRS
2006
13 years 10 months ago
2006
We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
IJRR
2008
13 years 9 months ago
2008
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
CIA
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. In this paper we compare state-of-the-art multi-agent reinforcement learning algorithms in a wide variety of games. We consider two types of algorithms: value iteration a...