1236 search results - page 196 / 248 » Opposition-Based Reinforcement Learning |
128
click to vote
AAAI
2000
15 years 4 months ago
2000
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
220
click to vote
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
115
click to vote
PPSN
2004
Springer
15 years 8 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
127
click to vote
AAAI
2004
15 years 4 months ago
2004
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
126
click to vote
GECCO
2008
Springer
15 years 3 months ago
2008
Springer
This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments con...