2011 search results - page 68 / 403 » Universal Reinforcement Learning |
128
click to vote
AAMAS
2007
Springer
15 years 4 months ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
113
click to vote
AAMAS
2005
Springer
15 years 3 months ago
2005
Springer
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
141
click to vote
EVOW
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
133
click to vote
AUSAI
2008
Springer
15 years 6 months ago
2008
Springer
In this paper the notion of a partial-order plan is extended to task-hierarchies. We introduce the concept of a partial-order taskhierarchy that decomposes a problem using multi-ta...
164
Voted
ILP
2007
Springer
15 years 10 months ago
2007
Springer
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...