5 search results - page 1 / 1 » Hierarchical reinforcement learning with subpolicies special... |
NCI
2004
15 years 6 days ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
83
Voted
ICML
1997
IEEE
15 years 11 months ago
1997
IEEE
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
FLAIRS
2003
15 years 6 days ago
2003
105
Voted
PRICAI
2000
Springer
15 years 2 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
106
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IEEEPACT
2008
IEEE
15 years 5 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...