[IEEE T-PAMI] All you need for End-to-end Autonomous Driving
-
Updated
Aug 15, 2024
[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.
Add a description, image, and links to the policy-learning topic page so that developers can more easily learn about it.
To associate your repository with the policy-learning topic, visit your repo's landing page and select "manage topics."