139 search results - page 28 / 28 » Model-based function approximation in reinforcement learning |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
NIPS
1998
13 years 6 months ago
1998
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
ATAL
2005
Springer
13 years 11 months ago
2005
Springer
In many negotiation and bargaining scenarios, a particular agent may need to interact repeatedly with another agent. Typically, these interactions take place under incomplete info...