267 search results - page 43 / 54 » The Dynamics of Multi-Agent Reinforcement Learning |
NIPS
1993
14 years 11 months ago
1993
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
102
click to vote
ATAL
2004
Springer
15 years 3 months ago
2004
Springer
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
104
click to vote
HCW
1999
IEEE
15 years 1 months ago
1999
IEEE
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
118
click to vote
GLOBECOM
2008
IEEE
14 years 9 months ago
2008
IEEE
Traditional hop-by-hop dynamic routing makes inefficient use of network resources as it forwards packets along already congested shortest paths while uncongested longer paths may b...