BZS9606's repositories
Reinforcement_Learning_for_Traffic_Light_Control
Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.
Language:PythonApache-2.0000
gym
A toolkit for developing and comparing reinforcement learning algorithms.
Language:PythonNOASSERTION000
deep-rl-tsc
Distributed Deep Reinforcement Learning Traffic Signal Control
Language:PythonMIT000
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Language:PythonMIT000
Traffic-Signal-Control
Intelligent traffic control on Vissim by dqn
Language:Python000
IntelliLight
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
Language:Python000
Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
Language:Python000