This repository includes principal RL algorithms and my RL projects.
This is an idea, not work yet. Using only one network output actions with Q values, like NAF paper did.
The idea based on the paper: Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning Electronics and Telecommunications Research Institute ( ETRI ), South Korea;
My solution is applying the rl in continuous action area to re design this experiment
Apply the DQN to do graph sampling walk
This task is working on finding right solution of a complex function. Using the advantage of reinforcement learning, agent is used to find out the solution under complicated and tedious environment instead of human.
Apply hierarchical frame in multi-actions contorlling task.