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ATAL
2006
Springer
14 years 2 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
DICTA
2007
14 years 11 days ago
Fuzzy Model Based Recognition of Handwritten Hindi Characters
This paper presents the recognition of handwritten Hindi Characters based on the modified exponential membership function fitted to the fuzzy sets derived from features consisting...
Madasu Hanmandlu, O. V. Ramana Murthy, Vamsi Krish...
TSMC
2008
76views more  TSMC 2008»
13 years 10 months ago
Improved Adaptive-Reinforcement Learning Control for Morphing Unmanned Air Vehicles
This paper presents an improved Adaptive
John Valasek, James Doebbler, Monish D. Tandale, A...
AAAI
1997
14 years 8 days ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
COLT
2008
Springer
14 years 21 days ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin