233 search results - page 13 / 47 » Focus of Attention in Reinforcement Learning |
JDCTA
2010
13 years 2 months ago
2010
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...
PRICAI
1999
Springer
13 years 11 months ago
1999
Springer
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
ICML
2003
IEEE
14 years 19 days ago
2003
IEEE
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...