64 search results - page 3 / 13 » Hierarchical Explanation-Based Reinforcement Learning |
ML
2008
ACM
15 years 3 months ago
2008
ACM
98
Voted
FLAIRS
2003
15 years 4 months ago
2003
231
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ATAL
2006
Springer
15 years 7 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
109
Voted
ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
127
Voted
IJCAI
2007
15 years 4 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...