374 search results - page 40 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
ICML
2003
IEEE
14 years 8 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. ...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...