6 search results - page 1 / 2 » RL-TOPS: An Architecture for Modularity and Re-Use in Reinfo... |
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
NECO
2002
13 years 4 months ago
2002
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
ICML
1994
IEEE
13 years 8 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
SP
1999
IEEE
13 years 9 months ago
1999
IEEE
Psychological acceptability has been mentioned as a requirement for secure systems for as long as least privilege and fail safe defaults, but until now has been all but ignored in...