267 search results - page 11 / 54 » The Dynamics of Multi-Agent Reinforcement Learning |
CIIA
2009
14 years 10 months ago
2009
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
ICMLA
2009
14 years 7 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
57
Voted
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Abstraction in Reinforcement Learning via Clustering Shie Mannor shie@mit.edu Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
ROBOCUP
2005
Springer
15 years 3 months ago
2005
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...