1233 search results - page 190 / 247 » Feudal Reinforcement Learning |
IJCAI
2001
13 years 9 months ago
2001
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
In this paper, we deal with the sequential decision making problem of agents operating in computational economies, where there is uncertainty regarding the trustworthiness of serv...
CEC
2008
IEEE
13 years 10 months ago
2008
IEEE
Abstract-- In this paper we investigate the effects of individual learning on an evolving population of situated agents. We work with a novel type of system where agents can decide...
AR
2008
13 years 8 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. ...
PRICAI
2000
Springer
13 years 12 months ago
2000
Springer
When we construct an agent by integrating modules, there appear troubles concerning the autonomy of the agent if we introduce a heuristics that dominates the whole agent. Thus, we ...