Stars
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
This repository offers code to reuse methodology and repeat experiments in the study "A Unified Probabilistic Approach to Traffic Conflict Detection".
This repository shares vectorised python scripts to calculate various surrogate safety measures (SSMs), or in another way called, surrogate measures of safety (SMoS) for pairs of road users on an a…
This repository allows for fast computation of two-dimensional Time-To-Collision (TTC), DRAC, and MTTC.
Emergency Index (EI): A two-dimensional surrogate safety measure considering vehicles' interaction depth
[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning
RSS 2023: This repository contains code for the paper Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.
Scalable Multi-Agent RL Training School for Autonomous Driving
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
World Model based Autonomous Driving Platform in CARLA 🚗
[T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
Open-source simulator for autonomous driving research.
Train transformer language models with reinforcement learning.
[CVPR 2024] HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
[CVPR 2023] Query-Centric Trajectory Prediction
NeurIPS[2023] "Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations" official implement
A new model-based algorithm for offline inverse reinforcement learning
Implementation of GAIL and AIRL using chinerrl
Adversarial Inverse Reinforcement Learning Implement For Mountain Car
[TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving
🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable…
Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator