161 search results - page 23 / 33 » Convergence Problems of General-Sum Multiagent Reinforcement... |
IJCAI
2003
14 years 11 months ago
2003
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
AR
2008
14 years 9 months ago
2008
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...