71 search results - page 1 / 15 » A Causal Bayesian Network View of Reinforcement Learning |
FLAIRS
2008
13 years 6 months ago
2008
AI
2006
Springer
13 years 8 months 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 5 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 6 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
13 years 8 months 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...