A study on Visual Abstraction for Reinforcement Learning Problem Using Learning Vector Quantization
When applying the learning systems to real-world problems, which have a lot of unknown or uncertain things, there are some issues that need to be solved. One of them is the abstraction ability. In reinforcement learning, to complete each task, the agent will learn to find the best policy. Neverthele...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6961/ http://umpir.ump.edu.my/id/eprint/6961/1/A_study_on_Visual_Abstraction_for_Reinforcement_Learning_Problem_Using_Learning_Vector_Quantization.pdf |