71 search results - page 1 / 15 » A Causal Bayesian Network View of Reinforcement Learning |
FLAIRS
2008
13 years 10 months ago
2008
AI
2006
Springer
14 years 8 days ago
2006
Springer
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
IJCAI
2001
13 years 10 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
EWRL
2008
13 years 10 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
CL
2000
Springer
14 years 26 days ago
2000
Springer
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...