236 search results - page 19 / 48 » Non-linear dynamics in multiagent reinforcement learning alg... |
MAGS
2010
13 years 2 months ago
2010
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
ML
1998
ACM
13 years 7 months ago
1998
ACM
Game playing has been a popular problem area for research in artificial intelligence and machine learning for many years. In almost every study of game playing and machine learnin...
IAT
2010
IEEE
13 years 5 months ago
2010
IEEE
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
NIPS
1993
13 years 9 months ago
1993
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...