An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB camera inputs to make real-time acceleration and steering decisions.
☆44Aug 20, 2026Updated last month
Alternatives and similar repositories for E2E-CARLA-ReinforcementLearning-PPO
Users that are interested in E2E-CARLA-ReinforcementLearning-PPO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆72Apr 11, 2024Updated 2 years ago
- Using diffusion model to reach controllable end-to-end driving with Carla simulation environment.☆30Mar 18, 2025Updated last year
- Autonomous driving agent in Carla simulator leveraging IL and RL techniques.☆31Dec 31, 2024Updated last year
- 🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement …☆154Dec 1, 2024Updated last year
- ☆32Oct 3, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]☆564Nov 13, 2025Updated 10 months ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆63Aug 20, 2026Updated last month
- ☆29Jun 9, 2026Updated 3 months ago
- Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles☆28Aug 1, 2025Updated last year
- ☆21Sep 28, 2025Updated 11 months ago
- code for the accepted IEEE TITS paper: "Heuristic-based Multi-agent Deep Reinforcement Learning Approach for Coordinating Connected and A…☆37Jun 2, 2024Updated 2 years ago
- 一个基于Carla的换道决策强化学习模型的搭建。A reinforcement learning model for lane change decision making based on Carla.☆21Apr 15, 2025Updated last year
- A reinforcement learning based behaviour planner for autonomous driving agents☆20Jan 8, 2021Updated 5 years ago
- Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)☆142Mar 25, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Project creates BEV image of the given multi sensor data from CARLA simulator.☆13Oct 23, 2023Updated 2 years ago
- Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning (ICROM, 2023)☆19Feb 5, 2024Updated 2 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆50Apr 25, 2023Updated 3 years ago
- CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models☆27May 1, 2026Updated 4 months ago
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆55Jul 27, 2026Updated 2 months ago
- Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator☆263Mar 24, 2023Updated 3 years ago
- Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenar…☆55Nov 1, 2024Updated last year
- This repository achieves an optimization-based unified decision-making and control for urban autonomous driving in Carla simulator.☆66Dec 2, 2025Updated 9 months ago
- Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.☆52Jul 3, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆13Jun 1, 2021Updated 5 years ago
- Implementation of FSM based behavior planner and also conformal lattice planner to generate trajectory set for getting feasible motion pl…☆36Feb 22, 2021Updated 5 years ago
- A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comp…☆43Nov 8, 2021Updated 4 years ago
- VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving☆269Feb 1, 2026Updated 7 months ago
- This repository contains my implementation of Deep Reinforcement Learning using Deep Neural Networks for autonomous vehicle's control and…☆20Jul 28, 2021Updated 5 years ago
- 🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement …☆16Aug 23, 2024Updated 2 years ago
- ☆13Apr 25, 2023Updated 3 years ago
- Applying RL methods for autonomous driving in Carla simulator.☆36Aug 6, 2022Updated 4 years ago
- ☆12Apr 4, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- OpenAI-gym-like Reinforcement Learning environment for Dispatching of Mobile Chargers with SUMO. Compatible with Gym and popular RL libra…☆15Mar 16, 2025Updated last year
- Train auto_car in CARLA simulator with RL algorithms(SAC).☆114Oct 11, 2025Updated 11 months ago
- ☆11Aug 2, 2023Updated 3 years ago
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆110Apr 27, 2025Updated last year
- Repo for 'VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes'☆27Oct 10, 2024Updated last year
- sim_llm 是一个基于 ROS2 的仿真测试,使用当下热门的大语言模型控制 turtle 做出一些简单的行动。☆22May 12, 2025Updated last year
- Lane Changer Agent DQN☆49Feb 14, 2022Updated 4 years ago