458 search results - page 90 / 92 » Q-Decomposition for Reinforcement Learning Agents |
ARCS
2005
Springer
13 years 11 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
ICML
1999
IEEE
14 years 6 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
ATAL
2006
Springer
13 years 9 months ago
2006
Springer
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
AIIDE
2007
13 years 8 months ago
2007
The goal of adaptive game AI is to enhance computercontrolled game-playing agents with (1) the ability to selfcorrect mistakes, and (2) creativity in responding to new situations....
ATAL
2011
Springer
12 years 5 months ago
2011
Springer
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...