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» Reinforcement Learning: An Introduction
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JMLR
2002
100views more  JMLR 2002»
14 years 9 months ago
Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing
James Hammerton, Miles Osborne, Susan Armstrong, W...

Book
1455views
16 years 7 months ago
Introduction to Object-Oriented Programming using C++
A set of lecture notes that introduces the reader to the object-orientation as a new programming concept. However, this is not a course for learning the C++ programming language.
Peter Müller
ATAL
2009
Springer
15 years 4 months ago
SarsaLandmark: an algorithm for learning in POMDPs with landmarks
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
Michael R. James, Satinder P. Singh
ICML
2004
IEEE
15 years 10 months ago
Using relative novelty to identify useful temporal abstractions in reinforcement learning
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Özgür Simsek, Andrew G. Barto
ECML
2006
Springer
15 years 1 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli