170 search results - page 15 / 34 » Heuristic Selection of Actions in Multiagent Reinforcement L... |
AIIDE
2008
13 years 9 months ago
2008
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
ATAL
2004
Springer
14 years 23 days ago
2004
Springer
Single-agent reinforcement learners in time-extended domains and multi-agent systems share a common dilemma known as the credit assignment problem. Multi-agent systems have the st...
TFS
2011
13 years 2 months ago
2011
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...