137 search results - page 17 / 28 » A Hybrid Framework for Over-Constrained Generalized |
IV
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper describes a technology for modelling and rendering heterogeneous objects containing entities of various dimensionalities within a cellular-functional framework based on...
UAI
1994
13 years 8 months ago
1994
In this paper we propose a new approach to probabilistic inference on belief networks, global conditioning, which is a simple generalization of Pearl's (1986b) method of loop...
AGI
2008
13 years 9 months ago
2008
Rich computer simulations or quantitative models can enable an agent to realistically predict real-world behavior with precision and performance that is difficult to emulate in log...
ICML
2003
IEEE
14 years 8 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...
CMSB
2007
Springer
14 years 1 months ago
2007
Springer
For modeling and analyzing regulatory networks based on qualitative information and possibly additional temporal constraints, approaches using hybrid automata can be very helpful. ...