97 search results - page 11 / 20 » Guiding Inference with Policy Search Reinforcement Learning |
ICML
2003
IEEE
16 years 14 days ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
121
click to vote
ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
101
Voted
ATAL
2007
Springer
15 years 5 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
110
click to vote
CIKM
2009
Springer
15 years 6 months ago
2009
Springer
Web search logs are of growing importance to researchers as they help understanding search behavior and search engine performance. However, search logs typically contain sensitive...
ROBOCUP
2009
Springer
15 years 6 months ago
2009
Springer
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...