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RAS
2010
131views more  RAS 2010»
13 years 7 months ago
Probabilistic Policy Reuse for inter-task transfer learning
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
Fernando Fernández, Javier García, M...
CORR
2006
Springer
140views Education» more  CORR 2006»
13 years 8 months ago
Nearly optimal exploration-exploitation decision thresholds
While in general trading off exploration and exploitation in reinforcement learning is hard, under some formulations relatively simple solutions exist. Optimal decision thresholds ...
Christos Dimitrakakis
ICALT
2005
IEEE
14 years 2 months ago
Can Collaborative Technologies Improve Management Education?
This paper explores the potential impact of collaborative technologies on improving management education. The first goal is to expose students to tools and practices that not only...
Marie-Noëlle Bessagnet, Lee Schlenker, Robert...
AIED
2009
Springer
14 years 3 months ago
Transfer Learning and Representation Discovery in Intelligent Tutoring Systems
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...
NIPS
2008
13 years 10 months ago
Structure Learning in Human Sequential Decision-Making
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Daniel Acuña, Paul R. Schrater