[IEEE T-PAMI] All you need for End-to-end Autonomous Driving

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System

A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites

YLearn, a pun of "learn why", is a python package for causal inference

[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.

[ECCV 2022] Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining

[RSS 2024] Learning Manipulation by Predicting Interaction

Policy learning via doubly robust empirical welfare maximization over trees

Stable dynamical system learning using Euclideanizing flows

Off-Policy Evaluation and Learning that is both Doubly Robust and Distributionally Robust.

Experiment code for "Koopman Constrained Policy Optimization: a Koopman operator theoretic method for differentiable optimal control in robotics" as presented at ICML 2023

PyTorch code for TAPAS-GMM.

Black-box, gradient-free optimization of car-racing policies.