99 search results - page 3 / 20 » A Reinforcement Learning Approach for Multiagent Navigation |
109
Voted
IJAIT
2008
15 years 2 months ago
2008
137
Voted
ECML
2003
Springer
15 years 8 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...
148
Voted
ICMLA
2010
15 years 22 days 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...
140
Voted
ROBOCUP
2005
Springer
15 years 8 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...
113
Voted
ICML
2002
IEEE
16 years 3 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...