93 search results - page 10 / 19 » Agent Learning using Action-Dependent Learning Rates in Comp... |
GECCO
2006
Springer
14 years 11 days ago
2006
Springer
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
AIIDE
2008
13 years 11 months ago
2008
Cooperative behavior is a desired trait in many fields from computer games to robotics. Yet, achieving cooperative behavior is often difficult, as maintaining shared information a...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
EWCBR
2008
Springer
13 years 10 months ago
2008
Springer
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...