167 search results - page 6 / 34 » Coordination in Multiagent Reinforcement Learning Systems |
173
Voted
AGENTS
2001
Springer
15 years 6 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...
123
Voted
ATAL
2010
Springer
15 years 2 months ago
2010
Springer
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
113
Voted
TSMC
2008
15 years 1 months ago
2008
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
129
Voted
ATAL
2007
Springer
15 years 8 months ago
2007
Springer
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
103
Voted
AAAI
2010
15 years 3 months ago
2010
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...