813 search results - page 22 / 163 » Ensemble Algorithms in Reinforcement Learning |
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
The dominant existing routing strategies employed in peerto-peer(P2P) based information retrieval(IR) systems are similarity-based approaches. In these approaches, agents depend o...
NIPS
1993
13 years 8 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...
AAMAS
2005
Springer
14 years 29 days ago
2005
Springer
This research aims at studying the effects of exchanging information during the learning process in Multiagent Systems. The concept of advice-exchange, introduced in (Nunes and Ol...
AUSAI
2005
Springer
14 years 29 days ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
IJCAI
2003
13 years 8 months ago
2003
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...