[T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.
☆55Sep 29, 2024Updated last year
Alternatives and similar repositories for Safe-Human-in-the-Loop-RL
Users that are interested in Safe-Human-in-the-Loop-RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.☆31Feb 22, 2024Updated 2 years ago
- The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Saf…☆44Sep 17, 2024Updated last year
- Official implementation of Evasive Acceleration (EA), a two-dimensional paradigm for instantaneous driving risk quantification.☆16Jul 2, 2026Updated 3 weeks ago
- This is the official implementation of WiseAD.☆26Apr 22, 2025Updated last year
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆97Jun 17, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driv…☆46Mar 2, 2024Updated 2 years ago
- [ICLR 2022] Official implementation of paper: Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization☆54Dec 23, 2022Updated 3 years ago
- Conflict resolution dataset☆18Aug 22, 2024Updated last year
- ☆23Dec 25, 2024Updated last year
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆11May 27, 2023Updated 3 years ago
- Code Implementation for Paper "Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning"☆34Jan 21, 2025Updated last year
- [TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving☆56Dec 25, 2024Updated last year
- ☆20Feb 4, 2026Updated 5 months ago
- ☆14May 20, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆29Feb 28, 2025Updated last year
- ☆15Apr 25, 2026Updated 3 months ago
- VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving☆261Feb 1, 2026Updated 5 months ago
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆108Apr 27, 2025Updated last year
- [ICML'26] This is the official repository of AutoMoT, an asynchronous VLA as E2E Model☆51Jul 15, 2026Updated 2 weeks ago
- Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning …☆26Oct 6, 2022Updated 3 years ago
- Official repo for KDP-AD☆18Oct 8, 2025Updated 9 months ago
- A benchmark towards generalizable reinforcement learning for autonomous driving.☆91Oct 10, 2023Updated 2 years ago
- This repository achieves an optimization-based unified decision-making and control for urban autonomous driving in Carla simulator.☆65Dec 2, 2025Updated 7 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆55Updated this week
- This repository allows for fast computation of two-dimensional Time-To-Collision (TTC), DRAC, and MTTC.☆61Jun 10, 2025Updated last year
- This is the source code for IV'23 'Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority'.☆24May 9, 2025Updated last year
- A curated collection of papers on E2E-AD, aimed at researchers, engineers, and enthusiasts in the field of autonomous driving systems. Th…☆97Jun 3, 2026Updated last month
- ☆16Jan 21, 2026Updated 6 months ago
- This folder contains the experiments and code for Hierarchical Program Triggered RL paper☆14Jan 7, 2022Updated 4 years ago
- [ICRA 2025] Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving (expert-level performance on Waymax)☆83Sep 7, 2025Updated 10 months ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆11Oct 9, 2023Updated 2 years ago
- onsite structured testing tool, which provides three testing capabilities: playback testing, fragmented two-way interactive testing and c…☆34Apr 16, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- This repository contains PyTorch implementations of reinforcement learning algorithms. Its purpose is to provide straightforward and easi…☆19Nov 10, 2023Updated 2 years ago
- Code for paper: Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory co…☆24Mar 1, 2025Updated last year
- [ICLR 2026] The official implementation of "Dichotomous Diffusion Policy Optimization"☆45May 2, 2026Updated 2 months ago
- RSS 2023: This repository contains code for the paper Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills a…☆108May 10, 2023Updated 3 years ago
- CLOVER, a Closed-LOop Value Estimation and Ranking framework for end-to-end driving planning.☆50May 29, 2026Updated 2 months ago
- ☆18Jun 26, 2026Updated last month
- [IROS 2023] FISS+: Efficient and Focused Trajectory Generation and Refinement using Fast Iterative Search and Sampling Strategy☆60Mar 21, 2024Updated 2 years ago