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NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 2 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
SIGGRAPH
1991
ACM
13 years 11 months ago
An object-oriented framework for the integration of interactive animation techniques
We present an interactive modeling and animation system that facilitates the integration of a variety of simulation and animation paradigms. This system permits the modeling of di...
Robert C. Zeleznik, D. Brookshire Conner, Matthias...
ECAL
2003
Springer
14 years 27 days ago
Evolving Fractal Gene Regulatory Networks for Robot Control
Fractal proteins are a new evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Ma...
Peter J. Bentley
CCS
2007
ACM
14 years 1 months ago
Administration in role-based access control
Administration of large-scale RBAC systems is a challenging open problem. We propose a principled approach in designing and analyzing administrative models for RBAC. We identify s...
Ninghui Li, Ziqing Mao
RAS
2008
80views more  RAS 2008»
13 years 7 months ago
Motion design and learning of autonomous robots based on primitives and heuristic cost-to-go
The task of trajectory design of autonomous vehicles is typically two-fold. First, it needs to take into account the intrinsic dynamics of the vehicle, which are sometimes termed ...
Keyong Li, Raffaello D'Andrea