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ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
14 years 2 months ago
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
Benoit Libeau, Alain Micaelli, Olivier Sigaud
UMUAI
2008
108views more  UMUAI 2008»
13 years 7 months ago
Developing a generalizable detector of when students game the system
Some students, when working in interactive learning environments, attempt to "game the system", attempting to succeed in the environment by exploiting properties of the s...
Ryan Shaun Joazeiro de Baker, Albert T. Corbett, I...
ESANN
2008
13 years 9 months ago
Improvement in Game Agent Control Using State-Action Value Scaling
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
Leo Galway, Darryl Charles, Michaela M. Black
IJCAI
2007
13 years 9 months ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...
ICCBR
2009
Springer
14 years 2 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