[CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".
☆52Apr 8, 2024Updated last year
Alternatives and similar repositories for EGPO
Users that are interested in EGPO are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] The official code for paper "Guarded Policy Optimization with Imperfect Online Demonstrations"☆14Apr 30, 2023Updated 2 years ago
- Official release for the code used in paper: Learning from Active Human Involvement through Proxy Value Propagation (NeurIPS 2023 Spotlig…☆35Jan 16, 2025Updated last year
- [ICLR 2022] Official implementation of paper: Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization☆54Dec 23, 2022Updated 3 years ago
- [CoRL'23] Adversarial Training for Safe End-to-End Driving☆78Nov 11, 2024Updated last year
- This repo contains scenarios from different source for training and testing autonomous vehicles.☆26Mar 20, 2023Updated 3 years ago
- [TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving☆114Aug 11, 2023Updated 2 years ago
- The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Saf…☆42Sep 17, 2024Updated last year
- [ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.☆30Feb 22, 2024Updated 2 years ago
- Code for paper: Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory co…☆23Mar 1, 2025Updated last year
- [TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving☆55Dec 25, 2024Updated last year
- Social Attention for Autonomous Decision-Making in Dense Traffic☆23Oct 30, 2021Updated 4 years ago
- A safe and efficient autonomous driving algorithm. Winner of the 2019 DriveML Huawei Autonomous Vehicles Challenge. Built using RLLib and…☆18Jan 24, 2020Updated 6 years ago
- ☆24Apr 14, 2024Updated last year
- Reward Evolution with Large Language Models using Human Feedback☆18Nov 14, 2025Updated 4 months ago
- All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码，收集的相关experts☆135Feb 26, 2024Updated 2 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆65Mar 9, 2023Updated 3 years ago
- Imitation Learning with the INTERACTION Dataset☆37Apr 1, 2024Updated last year
- Apply safe RL methods from safety-starter-agents in highway-env☆14Jun 28, 2021Updated 4 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Apr 8, 2022Updated 3 years ago
- Training DeepCars using Deep Reinforcement Learning agents (DQN and Double-DQN)☆22Sep 27, 2019Updated 6 years ago
- [ITSC 2021] Reinforcement Learning for Mixed Autonomy Intersections☆28Feb 26, 2023Updated 3 years ago
- ☆14Jul 23, 2025Updated 7 months ago
- Code Implementation for Paper "Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning"☆30Jan 21, 2025Updated last year
- Codebase of paper "Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms" publ…☆12Jul 13, 2023Updated 2 years ago
- End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic☆22Oct 26, 2023Updated 2 years ago
- [NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".☆136Jan 29, 2024Updated 2 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆46Apr 25, 2023Updated 2 years ago
- [T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning☆277May 13, 2022Updated 3 years ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆376May 20, 2023Updated 2 years ago
- [TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving☆283Aug 11, 2023Updated 2 years ago
- ☆22Feb 17, 2022Updated 4 years ago
- A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023.☆25Sep 24, 2023Updated 2 years ago
- Macro-Action Generator-Critic (MAGIC) - Learning Macro-actions for online POMDP planning☆17Feb 23, 2023Updated 3 years ago
- Implementations of SAILR, PDO, and CSC☆31Jul 15, 2024Updated last year
- data driven approach to predict human driver reaction facing a merge request of surrounding drivers☆17Jan 15, 2021Updated 5 years ago
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆95Jun 17, 2024Updated last year
- [T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.☆51Sep 29, 2024Updated last year
- ⚡️ Shockingly fast imitation learning algorithms via combining online and offline data engines. ⚡️☆13Sep 1, 2025Updated 6 months ago
- ☆13Jul 23, 2023Updated 2 years ago