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).
☆24Updated 5 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:
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆29Updated 2 years ago
- make lane change decisions in highway environment based on DRL☆29Updated 5 years ago
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆37Updated last month
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆13Updated last year
- ☆11Updated 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…☆19Updated last year
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆58Updated last year
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆27Updated 6 years ago
- a learning-based decision-making algorithm for on-ramp merging☆27Updated last year
- ☆23Updated 3 years ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆11Updated 2 years ago
- A research project that leverages reinforcement learning and game theory in self-driving cars☆16Updated 4 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆41Updated 4 months ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆3Updated 2 months ago
- Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems☆20Updated last year
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆55Updated 6 years ago
- Multi-vehicle Coordinated Lane Change Strategy☆11Updated 5 years ago
- ☆13Updated 4 years ago
- An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning☆24Updated last year
- Leading Cruise Control☆19Updated last year
- ☆25Updated 2 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆37Updated last year
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆13Updated 4 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
- This project implements a Fuzzy Adaptive RRT*N algorithm for autonomous vehicle path planning in CARLA. By integrating fuzzy logic with R…☆13Updated 3 months ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆37Updated 2 years ago
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆23Updated 5 years ago
- Highway Traffic Control with MPC-based RL☆30Updated last week
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆25Updated last year