259 search results - page 1 / 52 » Reinforcement Learning with the Use of Costly Features |
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
IEEEPACT
2008
IEEE
13 years 11 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...
HCW
1999
IEEE
13 years 8 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...
IEEECIT
2006
IEEE
13 years 10 months ago
2006
IEEE
Efficient and robust routing is central to wireless sensor networks (WSN) that feature energy-constrained nodes, unreliable links, and frequent topology change. While most existi...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...