13 search results - page 3 / 3 » Reinforcement Learning in Complex Environments Through Multi... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
ATAL
2010
Springer
13 years 5 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
AIIDE
2008
13 years 7 months ago
2008
As massively multi-player gaming environments become more detailed, developing agents to populate these virtual worlds as capable non-player characters poses an increasingly compl...