161 search results - page 9 / 33 » Autonomous transfer for reinforcement learning |
IJCAI
2007
14 years 11 months ago
2007
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
EPIA
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
RAS
2010
14 years 7 months ago
2010
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
105
click to vote
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
ICAC
2009
IEEE
14 years 7 months ago
2009
IEEE
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...