policy-learning · GitHub Topics

OpenDriveLab / End-to-end-Autonomous-Driving

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

end-to-end-autonomous-driving autonomous-driving policy-learning Simulation

3.13 k

6 个月前

OpenDriveLab / DriveAGI

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving

foundation-model autonomous-driving embodied-ai policy-learning video-generation world-models

Python 730

5 个月前

zubair-irshad / Awesome-Robotics-3D

#大语言模型#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

3D benchmarks 机器视觉 gaussian-splatting 大语言模型 manipulation nerf policy-learning pretraining Robotics scene-graph Simulation vision-language-model vlm diffusion-models foundation-models navigation

710

7 个月前

DataCanvasIO / YLearn

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

causal-inference causality causal-models causal-discovery uplift-modeling policy-learning

Python 423

1 个月前

OpenDriveLab / PPGeo

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

end-to-end-autonomous-driving policy-learning self-supervised-learning

Python 127

2 年前

OpenDriveLab / MPI

[RSS 2024] Learning Manipulation by Predicting Interaction

policy-learning pre-training robot-manipulation

Python 108

10 个月前

metadriverse / ACO

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

policy-learning pretraining 机器视觉

Python 84

2 年前

grf-labs / policytree

Policy learning via doubly robust empirical welfare maximization over trees

causal-inference policy-learning

R 81

1 年前

mrana6 / euclideanizing_flows

Stable dynamical system (motion policy) learning using Euclideanizing flows

imitation-learning policy-learning dynamical-systems

Python 13

5 年前

robot-learning-freiburg / TAPAS

PyTorch code for TAPAS-GMM.

人工智能 imitation-learning policy-learning PyTorch Robotics

Jupyter Notebook 11

7 个月前

CausalML / doubly-robust-dropel

#计算机科学#Off-Policy Evaluation and Learning that is both Doubly Robust and Distributionally Robust.

机器学习 policy-learning robustness

Jupyter Notebook 9

3 年前

mhr / kcpo-icml

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

mpc optimal-control policy-learning robot-learning

Jupyter Notebook 8

2 年前

max-eth / racer

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

gym policy-learning optimization

Python 3

5 年前

xiaobaobaochifan / NAC

#计算机科学#The official repository for Net Actor-Critic

decision-making 机器学习 optimal-transport policy-learning reinforcement-learning offline-reinforcement-learning

Python 2

3 个月前

suraj5424 / Q-Learning-for-Blackjack-in-different-environments

#计算机科学#This repository implements Q-Learning in Blackjack, comparing it with random action selection and basic strategies. Includes experiments with various strategies, rule variations, and deck numbers to e...

agent-based-modeling 人工智能 blackjack 机器学习 policy-learning q-learning reinforcement-learning sarsa

Jupyter Notebook 0

3 个月前

aditKadepurkar / basic_diffusion_policy

Implementation of a basic diffusion policy in jax with a full pipeline of data collection -> data augmentation -> training -> inference/evaluation

diffusion policy-learning Robotics

Python 0

5 个月前