813 search results - page 2 / 163 » A comparison of evaluation methods in coevolution |
ICML
2003
IEEE
13 years 10 months ago
2003
IEEE
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
IJCAI
2003
13 years 6 months ago
2003
This paper is about the evolutionary design of multi-agent systems. An important part of recent research in this domain has been focusing on collaborative revolutionary methods. W...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
CIG
2006
IEEE
13 years 11 months ago
2006
IEEE
Abstract— This paper compares the use of temporal difference learning (TDL) versus co-evolutionary learning (CEL) for acquiring position evaluation functions for the game of Othe...
ML
1998
ACM
13 years 4 months ago
1998
ACM
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...