43 search results - page 4 / 9 » Multi-Agent Reinforcement Learning: A Survey |
ICMAS
1998
13 years 7 months ago
1998
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
AGENTS
1999
Springer
13 years 10 months ago
1999
Springer
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
ECAI
2006
Springer
13 years 9 months ago
2006
Springer
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
AAAI
2010
13 years 7 months ago
2010
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
ATAL
2004
Springer
13 years 11 months ago
2004
Springer
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...