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ICML
2005
IEEE
16 years 7 months ago
Exploration and apprenticeship learning in reinforcement learning
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
Pieter Abbeel, Andrew Y. Ng
ECML
1993
Springer
15 years 11 months ago
Integrated Learning Architectures
Research in systems where learning is integrated to other components like problem solving, vision, or natural language is becoming an important topic for Machine Learning. Situatio...
Enric Plaza, Agnar Aamodt, Ashwin Ram, Walter Van ...
COLT
1994
Springer
15 years 11 months ago
Rigorous Learning Curve Bounds from Statistical Mechanics
In this paper we introduce and investigate a mathematically rigorous theory of learning curves that is based on ideas from statistical mechanics. The advantage of our theory over ...
David Haussler, H. Sebastian Seung, Michael J. Kea...
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COLT
2006
Springer
15 years 10 months ago
Stable Transductive Learning
Abstract. We develop a new error bound for transductive learning algorithms. The slack term in the new bound is a function of a relaxed notion of transductive stability, which meas...
Ran El-Yaniv, Dmitry Pechyony
ECML
2006
Springer
15 years 10 months ago
Skill Acquisition Via Transfer Learning and Advice Taking
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...