3274 search results - page 12 / 655 » Using Learning in a Control Agent |
AGI
2011
12 years 11 months ago
2011
We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
AAMAS
2007
Springer
14 years 1 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
IVA
2010
Springer
13 years 6 months ago
2010
Springer
In a good team, members do not only perform their individual task, they also coordinate their actions with other members of the team. Developing such team skills usually involves e...
AI
2001
Springer
14 years 6 days ago
2001
Springer
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...