90 search results - page 16 / 18 » Bayesian Inverse Reinforcement Learning |
CIMCA
2008
IEEE
14 years 22 days ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
IJCAI
2007
13 years 7 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
NIPS
2008
13 years 7 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
GAMEON
2003
13 years 7 months ago
2003
The generation of animated human figures especially in crowd scenes has many applications in such domains as the special effects industry, computer games or for the simulation of ...
ICRA
2010
IEEE
13 years 4 months ago
2010
IEEE
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...