1236 search results - page 113 / 248 » Opposition-Based Reinforcement Learning |
123
click to vote
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
89
Voted
AAAI
2010
15 years 2 months ago
2010
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
135
Voted
IEEEPACT
2008
IEEE
15 years 7 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
110
click to vote
WEBI
2009
Springer
15 years 7 months ago
2009
Springer
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
102
Voted
CCGRID
2008
IEEE
15 years 7 months ago
2008
IEEE
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...