jlubars / RL-MPC-LaneMergingLinks
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
☆145Updated last year
Alternatives and similar repositories for RL-MPC-LaneMerging
Users that are interested in RL-MPC-LaneMerging 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☆45Updated 6 months ago
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆73Updated 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…☆132Updated 3 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆13Updated 4 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆43Updated 2 years ago
- Applying Constrained Policy Networks on Highway Environment☆46Updated 3 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆67Updated last year
- applying multi-agent reinforcement learning for highway-merging autonomous vehicles☆64Updated last year
- Source code for paper "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"☆117Updated 2 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆60Updated 7 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆52Updated 9 months ago
- ☆27Updated 2 years ago
- This project implements a reinforcement learning (RL) agent integrated with a Model Predictive Controller (MPC) for autonomous lane chang…☆35Updated 10 months ago
- Integrating Deep Reinforcement Learning with Path planning for Automated Driving☆79Updated 3 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆49Updated last year
- ☆11Updated 4 years ago
- Lane Changer Agent DQN☆49Updated 3 years ago
- ☆10Updated last year
- Decision Making in Dense Traffic using Deep Q-Learning☆25Updated 4 years ago
- ☆65Updated 3 years ago
- make lane change decisions in highway environment based on DRL☆33Updated 5 years ago
- Distributed Collaboration of Connected Autonomous Vehicles at Unsignalized Intersections using Parallel Monte Carlo Tree Search☆15Updated 3 years ago
- Reinforcement Learning Agents for Solving HighwayEnv's RaceTrackEnv☆17Updated last year
- Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo☆89Updated 2 years ago
- ☆19Updated 3 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆36Updated 2 years ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆49Updated 3 years ago
- A reinforcement learning based behaviour planner for autonomous driving agents☆20Updated 4 years ago
- This project is developing a hybrid DRL-MPC model for motion planning of AVs at unsignalized intersection. The work is based on the Highw…☆16Updated last year
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆16Updated 3 years ago