Adaptive Image Processing Using Multi-agent Reinforcement Learning

Assigning appropriate values to parameters in image processing is a challenge for users. This paper proposes a new approach based on multi-agent system using reinforcement learning to find the best values to assign to each parameter in an image processing task. On one hand, the theoretical foundations give our approach a great robustness, on the other hand the experimental results demonstrate its effectiveness.