41 search results - page 8 / 9 » Heuristic Reinforcement Learning Applied to RoboCup Simulati... |
NIPS
1997
13 years 7 months ago
1997
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
ATAL
2011
Springer
12 years 6 months ago
2011
Springer
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
CONTEXT
1999
Springer
13 years 10 months ago
1999
Springer
When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant...
ICML
1994
IEEE
13 years 9 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...
AAAI
2008
13 years 8 months ago
2008
This paper summarizes recent advances in the application of multiagent coordination algorithms to air traffic flow management. Indeed, air traffic flow management is one of the fu...