99 search results - page 3 / 20 » A Reinforcement Learning Approach for Multiagent Navigation |
IJAIT
2008
13 years 6 months ago
2008
ECML
2003
Springer
13 years 11 months ago
2003
Springer
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
ICMLA
2010
13 years 4 months ago
2010
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
ROBOCUP
2005
Springer
13 years 11 months ago
2005
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
ICML
2002
IEEE
14 years 7 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...