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IROS
2006
IEEE
113views Robotics» more  IROS 2006»
16 years 23 days ago
Policy Gradient Methods for Robotics
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
Jan Peters, Stefan Schaal
WMTE
2005
IEEE
16 years 10 days ago
'Location is not enough!': an Empirical Study of Location-Awareness in Mobile Collaboration
: There is an ever growing number of mobile learning applications based on location-awareness, However, there is still a lack of information concerning how it might impact socio-co...
Nicolas Nova, Fabien Girardin, Pierre Dillenbourg
ILP
1999
Springer
15 years 11 months ago
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition
This paper presents an application of Inductive Logic Programming (ILP) and Backpropagation Neural Network (BNN) to the problem of Thai character recognition. In such a learning pr...
Boonserm Kijsirikul, Sukree Sinthupinyo
169
Voted
ATAL
2008
Springer
15 years 8 months ago
Expediting RL by using graphical structures
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
Peng Dai, Alexander L. Strehl, Judy Goldsmith
FLAIRS
2006
15 years 8 months ago
Robot Navigation Using Integrated Retrieval of Behaviors and Routes
RUPART1 is a hybrid robot control system for navigating a real-world, academic building. Hybrid robot control systems provide robust low-level navigation together with strategic p...
Susan Eileen Fox, Peter Anderson-Sprecher