137 search results - page 17 / 28 » A Hybrid Framework for Over-Constrained Generalized |
89
Voted
IV
2005
IEEE
15 years 5 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...
105
Voted
UAI
1994
15 years 1 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...
88
Voted
AGI
2008
15 years 1 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...
82
Voted
ICML
2003
IEEE
16 years 14 days 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...
114
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CMSB
2007
Springer
15 years 5 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. ...