wz-ml / MetaDrive-TutorialsLinks
Reinforcement Learning tutorials with Metadrive: A collection of hands-on notebooks and resources to get started with reinforcement learning using the powerful MetaDrive simulation environment.
☆26Updated 2 years ago
Alternatives and similar repositories for MetaDrive-Tutorials
Users that are interested in MetaDrive-Tutorials are comparing it to the libraries listed below
Sorting:
- Reinforcment Learning accelerated Motion Planning Algorithm based on Frenetix and Frenetix_Motion_Planner☆73Updated last year
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆45Updated 2 years ago
- [TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving☆114Updated 2 years ago
- A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comp…☆44Updated 4 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆55Updated last year
- 🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement …☆139Updated last year
- Implementation of FSM based behavior planner and also conformal lattice planner to generate trajectory set for getting feasible motion pl…☆34Updated 4 years ago
- [T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.☆50Updated last year
- ☆67Updated 3 years ago
- Model Predictive Controller tested on Carla simulator on Race track with reference velocity.☆59Updated 5 years ago
- This is a source repository for Multi-Agent Reinforcement Learning for Autonomous Driving research☆40Updated last year
- The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driv…☆46Updated last year
- Implementation of Reinforcement Learning Agent using Deep Deterministic Policy Gradient Algorithm for Parking Vehicle in Carla simulator☆23Updated 4 years ago
- This repo collects interesting papers related to Autonomous Vehicle Planning (along with some personal notes).☆53Updated 3 years ago
- The autonomous driving related publications of our lab.☆63Updated 2 years ago
- ☆48Updated 4 years ago
- ☆33Updated 2 years ago
- ☆222Updated 5 years ago
- Deep Reinforcement Learning in CARLA simulator☆16Updated last year
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆95Updated last year
- [TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving☆54Updated last year
- Code repository for "Continuous Improvement of Self-Driving Cars using Dynamic Confidence-Aware Reinforcement Learning"☆65Updated 3 years ago
- ☆40Updated 4 years ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆49Updated 3 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆65Updated 2 years ago
- Applying RL methods for autonomous driving in Carla simulator.☆36Updated 3 years ago
- RL in AutoPilot 自动驾驶强化学习：效果展示，框架设计、算法和训练经验文档等（部分开源，update from private repo: egocar）☆140Updated 6 years ago
- Implementation of motion planning for self-driving cars based on EM Planner in Carla.☆61Updated 2 years ago
- Official Repository for "Interpretable Goal-based Prediction and Planning for Autonomous Driving" (ICRA 2021)☆88Updated 9 months ago
- Train auto_car in CARLA simulator with RL algorithms(SAC).☆114Updated 3 months ago