56 search results - page 4 / 12 » Multi-Agent Inverse Reinforcement Learning |
ECAI
2006
Springer
15 years 1 months ago
2006
Springer
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
179
click to vote
Publication
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
AAAI
2006
14 years 10 months ago
2006
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
106
click to vote
AAMAS
2005
Springer
14 years 9 months ago
2005
Springer
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...