parachutel / Q-Learning-for-Intelligent-Driver
We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.
☆23Updated 4 years ago
Alternatives and similar repositories for Q-Learning-for-Intelligent-Driver:
Users that are interested in Q-Learning-for-Intelligent-Driver are comparing it to the libraries listed below
- A research project that leverages reinforcement learning and game theory in self-driving cars☆15Updated 3 years ago
- Multi-vehicle Coordinated Lane Change Strategy☆11Updated 4 years ago
- A study code for HEVs eco-driving control☆22Updated 2 years ago
- Code for the paper @article{ author={Armijos, A. S. C. and Li, A. and Cassandras, C. G.}, title={Maximizing Safety and Efficiency for Coo…☆18Updated 10 months ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆27Updated 5 years ago
- This research is to create a decision making module for Lane changing Task of Autonomous vehicles.☆26Updated 3 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- CACC using a reiforcement learning approach☆10Updated 2 years ago
- make lane change decisions in highway environment based on DRL☆25Updated 5 years ago
- Leading Cruise Control☆19Updated 9 months ago
- Car following model created in Matlab/Simulink using the Intelligent Driver Model (IDM)☆50Updated 6 years ago
- ☆10Updated 3 years ago
- ☆21Updated 3 years ago
- In this study model predictive control is applied to a vehicle overtaking slower moving vehicles in a one way, two lane road. A risk map …☆13Updated 2 years ago
- Codes for "Balancing Computation Speed and Quality: A Decentralized Motion Planning Method for Cooperative Lane Changes of Connected and …☆32Updated 6 years ago
- The codes for the paper ``Cooperative adaptive cruise control for string stable mixed traffic: Benchmark and human-centered design" (2017…☆13Updated 4 years ago
- The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Sign…☆32Updated 2 years ago
- To guarantee safe and efficient driving for automated vehicles in complicated traffic conditions, the motion planning module of automated…☆69Updated 3 years ago
- path planning and speed planning are implemented in this project☆16Updated 2 years ago
- A Soft Actor Policy based model free off-policy network to control the steering and throttle of car while drifting at high speeds.☆9Updated last year
- A Deep Q-Network trained to safely guide the autonomous car to cross a 4-way intersection in a complex traffic environment.☆9Updated 4 years ago
- Implemenation of DQN for lane changes☆19Updated 6 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆52Updated 6 years ago
- DeeP-LCC for mixed traffic☆34Updated last year
- "Adaptive Cruise Control for a Hybrid Vehicle with Deep Policy Gradients". Final project for ECE 517/414 Reinforcement Learning.☆13Updated 3 years ago
- Simulations of vehicle platooning using hybrid model predictive control strategies.☆14Updated 3 months ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆34Updated last year
- analyzing NGSIM database: Car Following, Lane Changing☆24Updated 5 years ago
- Lane-changing trajectory planning of the autonomous vehicle based on the quintic polynomial model☆42Updated 4 years ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆11Updated last year