Tejas-Deo / Safe-Navigation-Training-Autonomous-Vehicles-using-Deep-Reinforcement-Learning-in-CARLALinks
☆32Updated 2 years ago
Alternatives and similar repositories for Safe-Navigation-Training-Autonomous-Vehicles-using-Deep-Reinforcement-Learning-in-CARLA
Users that are interested in Safe-Navigation-Training-Autonomous-Vehicles-using-Deep-Reinforcement-Learning-in-CARLA are comparing it to the libraries listed below
Sorting:
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆42Updated 2 years ago
- 🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement …☆122Updated 10 months ago
- Autonomous driving agent in Carla simulator leveraging IL and RL techniques.☆21Updated 9 months ago
- [TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving☆106Updated 2 years ago
- A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comp…☆41Updated 3 years ago
- The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driv…☆43Updated last year
- Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning (ICROM, 2023)☆18Updated last year
- Train auto_car in CARLA simulator with RL algorithms(SAC).☆110Updated 2 years ago
- [AAAI 2022] CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving☆29Updated last year
- reinforcement learning based agents for self-driving in CARLA☆72Updated 4 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆62Updated 2 years ago
- [T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.☆43Updated last year
- ☆48Updated 4 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆45Updated last year
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆62Updated last year
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆91Updated last year
- 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
- Applying Constrained Policy Networks on Highway Environment☆44Updated 3 years ago
- Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)☆131Updated 2 years ago
- An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO…☆36Updated last year
- ☆26Updated 2 years ago
- The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Saf…☆35Updated last year
- Applying RL methods for autonomous driving in Carla simulator.☆33Updated 3 years ago
- Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging☆140Updated last year
- Deep Reinforcement Learning in CARLA simulator☆13Updated last year
- a learning-based decision-making algorithm for on-ramp merging☆30Updated last year
- Official codes for paper: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learni…☆25Updated last year
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆41Updated 4 months ago
- CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning☆16Updated last year
- ☆40Updated 4 years ago