72 search results - page 4 / 15 » Continuous-Time Hierarchical Reinforcement Learning |
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...
FLAIRS
2003
14 years 11 months ago
2003
ICANNGA
2007
Springer
15 years 4 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
ATAL
2006
Springer
15 years 1 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...
75
Voted
ICML
2002
IEEE
15 years 10 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...