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ICCBR
2009
Springer
16 years 1 months ago
Case-Based Reasoning in Transfer Learning
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
David W. Aha, Matthew Molineaux, Gita Sukthankar
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
16 years 29 days ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
ICALT
2006
IEEE
16 years 20 days ago
Assessing the Effectiveness of Virtual Reality Technology as part of an Authentic Learning Environment
Application of Virtual Reality (VR) in training and education seems to give excellent promise in providing an alternative “real life” environment in situations where it is imp...
Ros A. Yahaya
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
16 years 20 days ago
Transfer of Learning for Complex Task Domains: a Demonstration using Multiple Robots
— This paper demonstrates a learning mechanism for complex tasks. Such tasks may be inherently expensive to learn in terms of training time and/or cost of obtaining each training...
Sameer Singh, Julie A. Adams
IJCNN
2006
IEEE
16 years 19 days ago
Global Reinforcement Learning in Neural Networks with Stochastic Synapses
— We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...
Xiaolong Ma, Konstantin Likharev