53 search results - page 1 / 11 » Shaping multi-agent systems with gradient reinforcement lear... |
IJCAI
2001
14 years 7 days ago
2001
AAAI
2010
14 years 9 days 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
14 years 4 months ago
2004
Springer
Product Distribution (PD) theory is a new framework for controlling Multi-Agent Systems (MAS’s). First we review one motivation of PD theory, as the information-theoretic extens...
AAAI
2010
13 years 12 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
AAMAS
2007
Springer
13 years 11 months ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...