536 search results - page 18 / 108 » Residual Algorithms: Reinforcement Learning with Function Ap... |
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
ATAL
2010
Springer
15 years 23 days ago
2010
Springer
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
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ECAI
2010
Springer
15 years 23 days ago
2010
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
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ICML
1998
IEEE
16 years 14 days ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
COLT
2000
Springer
15 years 4 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...