🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

This repository will share recent paper about AD&RL

[ICCV'23] Hidden Biases of End-to-End Driving Models

[IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

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

Applying RL methods for autonomous driving in Carla simulator.

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/