parachutel / Q-Learning-for-Intelligent-DriverLinks
We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.
☆24Updated 5 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
Sorting:
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆60Updated 7 years ago
- Leading Cruise Control☆20Updated last year
- A research project that leverages reinforcement learning and game theory in self-driving cars☆18Updated 4 years ago
- CACC using a reiforcement learning approach☆11Updated 3 years ago
- make lane change decisions in highway environment based on DRL☆33Updated 6 years ago
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆76Updated 3 years ago
- Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning …☆25Updated 3 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆16Updated 3 years ago
- This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learni…☆136Updated 4 years ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆49Updated 3 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…☆20Updated last year
- A study code for HEVs eco-driving control☆21Updated 3 years ago
- ☆11Updated 4 years ago
- Multi-vehicle Coordinated Lane Change Strategy☆11Updated 5 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 4 years ago
- ☆17Updated 4 years ago
- To guarantee safe and efficient driving for automated vehicles in complicated traffic conditions, the motion planning module of automated…☆72Updated 4 years ago
- Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging☆144Updated last year
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆48Updated 8 months ago
- Master's Thesis on Lane Change in Autonomous Vehicles.☆12Updated 3 years ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆29Updated 6 years ago
- The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Sign…☆36Updated 3 years ago
- A reinforcement learning based behaviour planner for autonomous driving agents☆20Updated 5 years ago
- Car following model created in Matlab/Simulink using the Intelligent Driver Model (IDM)☆55Updated 7 years ago
- ☆67Updated 3 years ago
- CAVSim: a traffic simulator for connected and automated vehicles (CAVs)☆51Updated last year
- This is the code base for our paper "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving", which was published at RA-L …☆41Updated 2 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆33Updated 6 years ago
- Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo☆91Updated 2 years ago
- ☆24Updated 4 years ago