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106
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ICML
2004
IEEE
16 years 3 months ago
Bellman goes relational
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
Kristian Kersting, Martijn Van Otterlo, Luc De Rae...
175
Voted
JMLR
2010
148views more  JMLR 2010»
14 years 9 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
LPE
1997
15 years 3 months ago
Visualizing Solutions with Viewers
Visualization can be a powerful aid for learning a programming language. It may be used to reinforce central language concepts. In the context of Prolog and CLP-languages, however...
Ulrich Neumerkel, Christoph Rettig, Christian Scha...
AAAI
2006
15 years 3 months ago
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
Sooraj Bhat, Charles Lee Isbell Jr., Michael Matea...
147
Voted
INLG
2010
Springer
15 years 11 days ago
Hierarchical Reinforcement Learning for Adaptive Text Generation
We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
Nina Dethlefs, Heriberto Cuayáhuitl