miffie's repositories
Algrithms-Learnig
Learning! Never quit!
Reinforcement-Learning-Traffic-Agent
An agent the uses deep reinforcement learning to reduce average waiting times and queue lengths at junctions.
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).
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
DeepTrafficControl
Intelligence traffic signal control using deep reinforcement learning
EIBA
Efficient Incremental BA
Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
IntelliLight
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
orb_slam2_android
Implement ORB SLAM2 on an Android Phone.
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.
SegmentBA
Segment based Bundle Adjustment
TrafficLights_control_pytorch_rl
deep reinforcement learing SUMO