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AAAI
2006
15 years 8 months ago
Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains
We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
Vishal Soni, Satinder P. Singh
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
16 years 1 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...
ECML
2005
Springer
16 years 21 hour ago
Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
W4A
2009
ACM
16 years 1 months ago
Virtual teaching in a society of learning
: This article relates a reflexion on the experience of authors as teachers in the E-learning modality of university-level teaching. Presently we live in the peak of the new techno...
António Eduardo Martins, Felipa lopes dos R...
IE
2007
15 years 8 months ago
Observing the learning curve of videogames in architectural design
This paper presents innovative research into the use of videogame environments within architectural design studios. In this context, 3D videogame environments encourage new unders...
Greg More, Andrew Burrow