MayankD409 / RL_MPCLinks
This project implements a reinforcement learning (RL) agent integrated with a Model Predictive Controller (MPC) for autonomous lane changing using SUMO (Simulation of Urban MObility).
☆25Updated 6 months ago
Alternatives and similar repositories for RL_MPC
Users that are interested in RL_MPC are comparing it to the libraries listed below
Sorting:
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆39Updated 2 months ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 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 3 years ago
- make lane change decisions in highway environment based on DRL☆30Updated 5 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…☆19Updated last year
- Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging☆138Updated last year
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆31Updated 2 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆39Updated last year
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆12Updated 2 years ago
- A research project that leverages reinforcement learning and game theory in self-driving cars☆16Updated 4 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆60Updated last year
- This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learni…☆125Updated 3 years ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆29Updated 6 years ago
- path planning and speed planning are implemented in this project☆19Updated 2 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆38Updated 2 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆42Updated 5 months ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆57Updated 6 years ago
- Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images☆12Updated last year
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆23Updated 5 years ago
- CS525/DS595 Course Project - Deep Reinforcement Learning for Decision Making in Autonomous Driving☆13Updated 2 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆13Updated last year
- a learning-based decision-making algorithm for on-ramp merging☆27Updated last year
- Leading Cruise Control☆19Updated last year
- ☆26Updated 2 years ago
- Highway Traffic Control with MPC-based RL☆33Updated last month
- ☆11Updated 3 years ago
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆69Updated 3 years ago
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆9Updated 2 years ago
- Multi-vehicle Coordinated Lane Change Strategy☆11Updated 5 years ago
- To guarantee safe and efficient driving for automated vehicles in complicated traffic conditions, the motion planning module of automated…☆72Updated 3 years ago