236 search results - page 17 / 48 » Non-linear dynamics in multiagent reinforcement learning alg... |
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
AGENTS
1999
Springer
14 years 2 days 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...
IAT
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...
BC
1998
13 years 7 months ago
1998
Optimization of performance in collective systems often requires altruism. The emergence and stabilization of altruistic behaviors are dicult to achieve because the agents incur ...
AAMAS
2005
Springer
13 years 7 months ago
2005
Springer
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...