458 search results - page 68 / 92 » Q-Decomposition for Reinforcement Learning Agents |
CIA
2007
Springer
14 years 1 months ago
2007
Springer
When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome con icts in the behavior of agents can make the execution of interacti...
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
Multi-agent research often borrows from biology, where remarkable examples of collective intelligence may be found. One interesting example is ant colonies’ use of pheromones as...
AIIDE
2009
13 years 8 months ago
2009
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
ECML
2003
Springer
14 years 27 days ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...