486 search results - page 37 / 98 » A Bayesian Framework for Reinforcement Learning |
NIPS
2003
14 years 11 months ago
2003
We develop a framework based on Bayesian model averaging to explain how animals cope with uncertainty about contingencies in classical conditioning experiments. Traditional accoun...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
NIPS
2008
14 years 11 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
ICML
1994
IEEE
15 years 1 months ago
1994
IEEE
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
84
Voted
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered background. Past methods enhanced recognition by using multiple frame averaging, im...