128 search results - page 10 / 26 » Hierarchically Optimal Average Reward Reinforcement Learning |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
ICML
1997
IEEE
15 years 10 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...
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SGAI
2010
Springer
14 years 7 months ago
2010
Springer
This paper presents work on using hierarchical long term memory to reduce the memory requirements of nearest sequence memory (NSM) learning, a previously published, instance-based ...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...