Used Flow, Ray/RLlib and OpenAI Gym to simulate and train autonomous vehicles/human drivers in SUMO (Simulation of Urban Mobility)
☆25Dec 15, 2020Updated 5 years ago
Alternatives and similar repositories for AutonomousVehicleSimulation
Users that are interested in AutonomousVehicleSimulation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python project for the paper "Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Poli…☆13Feb 24, 2023Updated 3 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆13Dec 11, 2020Updated 5 years ago
- A lane changing optimization planning method for autonomous vehicles in mixed traffic flow. For lane changing using three degree curve an…☆16Apr 5, 2024Updated last year
- Enhancing Multi-Agent System Coordination in Autonomous Electric Vehicles Using Large Language Models☆20Dec 13, 2023Updated 2 years ago
- Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be d…☆25Nov 18, 2019Updated 6 years ago
- The adversarial version of Highway-env☆16Jun 12, 2024Updated last year
- Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.☆19Jun 7, 2024Updated last year
- Carla Multi Agent Deep Reinforcement Learning☆22Nov 27, 2020Updated 5 years ago
- [ITSC 2021] Reinforcement Learning for Mixed Autonomy Intersections☆28Feb 26, 2023Updated 3 years ago
- codes for paper 《Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions》☆14Apr 3, 2022Updated 3 years ago
- ☆39Sep 22, 2021Updated 4 years ago
- CACC using a reiforcement learning approach☆11May 6, 2022Updated 3 years ago
- ☆24Apr 14, 2024Updated last year
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆37May 23, 2023Updated 2 years ago
- 供大学生，竞赛生，高中生查找的math-wiki☆10May 26, 2022Updated 3 years ago
- applying multi-agent reinforcement learning for highway-merging autonomous vehicles☆67Dec 9, 2023Updated 2 years ago
- [ICRA 2024] Official codes for paper: Continual Driving Policy Optimization with Closed-Loop Individualized Curricula.☆20Oct 24, 2024Updated last year
- Heterogeneous Multi-agent Version of Highway-env☆18Jun 28, 2023Updated 2 years ago
- This project developed a light-duty CAV lane-changing (LC) model with four components: car following (CF), mandatory and incentive-based …☆12Sep 21, 2020Updated 5 years ago
- Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic☆16Jun 27, 2023Updated 2 years ago
- Cooperative Energy Management and Eco-driving of Plug-in Hybrid Electric Vehicle via Multi-agent Reinforcement Learning☆33Sep 5, 2022Updated 3 years ago
- Code to accompany "Calibrating Car-Following Models using SUMO-in-the-loop and Vehicle Trajectories from Roadside Radar"☆11Jul 14, 2024Updated last year
- Reinforcement Learning + traffic microsimulation (via SUMO). Uses Ray RLLIB and forces SUMO into the OpenAI Gym Framework☆56Dec 4, 2023Updated 2 years ago
- Cooperative Control of Traffic Signals and Connected Vehicles: A Multi-agent Deep Reinforcement Learning Approach☆24Jul 15, 2021Updated 4 years ago
- An implementation of the traffic simulation optimisation with reinforcement learning, with FLOW and SUMO.☆17Jan 15, 2021Updated 5 years ago
- Apply safe RL methods from safety-starter-agents in highway-env☆14Jun 28, 2021Updated 4 years ago
- a project of resilience assessment for a bus-rail transit network☆13Jul 4, 2023Updated 2 years ago
- Simulated in Simulation of Urban MObility (SUMO)☆17Dec 6, 2018Updated 7 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆29Mar 7, 2018Updated 8 years ago
- Master's Thesis on Lane Change in Autonomous Vehicles.☆12Aug 19, 2022Updated 3 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆65Mar 9, 2023Updated 3 years ago
- Demos of reinforcement learning on Simulation of Urban MObility☆57Jan 3, 2023Updated 3 years ago
- Calibration tool for the EIDM car following model☆10Jul 30, 2024Updated last year
- CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models☆19Feb 28, 2026Updated 3 weeks ago
- Enhancing autonomous driving with reinforcement learning for efficient and safe vehicle platooning. Optimizing traffic flow and fuel effi…☆12Feb 14, 2024Updated 2 years ago
- Code for IEEE transactions on neural networks and learning system☆13Jun 18, 2021Updated 4 years ago
- The primary purpose of CARLA is to support development, training, and validation of autonomous driving systems.☆20Aug 13, 2020Updated 5 years ago
- End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic☆22Oct 26, 2023Updated 2 years ago
- Welcome to the GitHub repo for the SVT-AV1 encoder! To see a list of feature request and view what is planned for the SVT-AV1 encoder, v…☆12Mar 16, 2019Updated 7 years ago