627 search results - page 34 / 126 » Evolution and learning in multiagent systems |
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper studies iterative learning control (ILC) in a multi-agent framework. A group of agents simultaneously and repeatedly perform the same task. The agents improve their perf...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...