5 search results - page 1 / 1 » A Collaborative Reinforcement Learning Approach to Urban Tra... |
IAT
2008
IEEE
13 years 11 months ago
2008
IEEE
ICMLA
2010
13 years 3 months ago
2010
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
SASO
2009
IEEE
13 years 11 months ago
2009
IEEE
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
IROS
2007
IEEE
13 years 11 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...
AAAI
2010
13 years 6 months ago
2010
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...