53 search results - page 7 / 11 » Testing Probabilistic Equivalence Through Reinforcement Lear... |
SIGCSE
2009
ACM
14 years 8 months ago
2009
ACM
Many academic and industry professionals have called for more testing in computer science curricula. Test-driven development (TDD) has been proposed as a solution to improve testi...
FLAIRS
2000
13 years 9 months ago
2000
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...
CCIA
2010
Springer
13 years 2 months ago
2010
Springer
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper presents a hybrid control architecture for autonomous robotic fishes which are able to swim and navigate in unknown or dynamically changing environments. It has a t...
AIPS
2006
13 years 9 months ago
2006
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...