TMIS-Turbo / FNI-RLView external linksLinks
[TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving
☆55Dec 25, 2024Updated last year
Alternatives and similar repositories for FNI-RL
Users that are interested in FNI-RL are comparing it to the libraries listed below
Sorting:
- This repository contains PyTorch implementations of reinforcement learning algorithms. Its purpose is to provide straightforward and easi…☆18Nov 10, 2023Updated 2 years ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆29Dec 25, 2023Updated 2 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆65Mar 9, 2023Updated 2 years ago
- [ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.☆30Feb 22, 2024Updated last year
- ☆23Apr 14, 2024Updated last year
- Imitation Learning with the INTERACTION Dataset☆34Apr 1, 2024Updated last year
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆95Jun 17, 2024Updated last year
- [ICRA 2024] Official codes for paper: Continual Driving Policy Optimization with Closed-Loop Individualized Curricula.☆20Oct 24, 2024Updated last year
- Official release for the code used in paper: Learning from Active Human Involvement through Proxy Value Propagation (NeurIPS 2023 Spotlig…☆33Jan 16, 2025Updated last year
- (Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving☆63Dec 1, 2022Updated 3 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆57Feb 12, 2025Updated last year
- (TPAMI) Human-guided Reinforcement Learning with Sim-to-real Transfer for Autonomous Navigation☆25Sep 18, 2023Updated 2 years ago
- [ICLR 2023] The official code for paper "Guarded Policy Optimization with Imperfect Online Demonstrations"☆14Apr 30, 2023Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Apr 8, 2022Updated 3 years ago
- ☆20Feb 4, 2026Updated last week
- ☆28Feb 28, 2025Updated 11 months ago
- The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Saf…☆41Sep 17, 2024Updated last year
- [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".☆52Apr 8, 2024Updated last year
- The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framew…☆80Feb 7, 2024Updated 2 years ago
- An implementation of the traffic simulation optimisation with reinforcement learning, with FLOW and SUMO.☆17Jan 15, 2021Updated 5 years ago
- This is the source code for IV'23 'Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority'.☆23May 9, 2025Updated 9 months ago
- ☆11Apr 8, 2024Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Dec 4, 2023Updated 2 years ago
- Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning …☆25Oct 6, 2022Updated 3 years ago
- A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023.☆25Sep 24, 2023Updated 2 years ago
- 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 last year
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆45May 6, 2024Updated last year
- For the paper "Prediction-Based Reachability for Collision Avoidance in Autonomous Driving"☆22Dec 16, 2020Updated 5 years ago
- Semantic Synthesis of Pedestrian Locomotion☆12Sep 13, 2023Updated 2 years ago
- Codebase of paper "Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms" publ…☆12Jul 13, 2023Updated 2 years ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆12Apr 27, 2023Updated 2 years ago
- ☆10Jan 23, 2024Updated 2 years ago
- Text-to-Drive: Diverse Driving Behaviors Synthesis via Large Language Models☆11Mar 17, 2024Updated last year
- ☆11Dec 23, 2025Updated last month
- [T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning☆275May 13, 2022Updated 3 years ago
- [ICLR 2022] Official implementation of paper: Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization☆53Dec 23, 2022Updated 3 years ago
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆90Apr 27, 2025Updated 9 months ago
- [ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model☆120Mar 7, 2023Updated 2 years ago
- Multi-robot Reinforcement Learning Scalable Training School (MRST) is a training and evaluation platform for reinforcement learning rease…☆11Sep 6, 2022Updated 3 years ago