72 search results - page 4 / 15 » Continuous-Time Hierarchical Reinforcement Learning |
ICML
1997
IEEE
14 years 9 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
13 years 10 months ago
2003
ICANNGA
2007
Springer
14 years 2 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
14 years 9 days 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...
ICML
2002
IEEE
14 years 9 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...