301 search results - page 12 / 61 » Approximate predictive state representations |
UAI
1998
13 years 8 months ago
1998
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
AAAI
2010
13 years 9 months ago
2010
Automatically constructing novel representations of tasks from analysis of state spaces is a longstanding fundamental challenge in AI. I review recent progress on this problem for...
ICSEA
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper describes an innovative approach to network testing based on automatically generating and analyzing state machine models of network behavior. The models are generate...
ICMLA
2008
13 years 9 months ago
2008
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
NIPS
2001
13 years 9 months ago
2001
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...