117 search results - page 10 / 24 » Self-evaluated Learning Agent in Multiple State Games |
PRICAI
2000
Springer
13 years 11 months ago
2000
Springer
Autonomous state generalization problem is a key issue in the research field of behavior learning of reactive agents, and many approaches have been proposed in recent years. Howeve...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
AIIDE
2006
13 years 8 months ago
2006
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
ICRA
2010
IEEE
13 years 5 months ago
2010
IEEE
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...