1262 search results - page 156 / 253 » Reinforcement Learning: An Introduction |
EWCBR
2008
Springer
13 years 10 months ago
2008
Springer
To meet time constraints, a CBR system must control the time spent searching in the case base for a solution. In this paper, we presents the results of a case study comparing the p...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
EPIA
2007
Springer
14 years 2 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...
IJCAI
2001
13 years 9 months ago
2001
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...