99 search results - page 5 / 20 » Action Selection in Bayesian Reinforcement Learning |
HEURISTICS
2008
13 years 8 months ago
2008
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
ATAL
2003
Springer
14 years 1 months ago
2003
Springer
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
SCIA
2005
Springer
14 years 2 months ago
2005
Springer
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
IJCAI
2007
13 years 10 months ago
2007
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...