1630 search results - page 6 / 326 » Coordinated Reinforcement Learning |
AGENTS
2001
Springer
14 years 2 months ago
2001
Springer
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
— Delegating the coordination role to proxy agents can improve the overall outcome of the task at the expense of cognitive overload due to switching subtasks. Stability and commi...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
AAAI
1998
13 years 11 months ago
1998
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...