policy-learning

There are 1 repository under policy-learning topic.

OpenDriveLab / End-to-end-Autonomous-Driving
[IEEE T-PAMI] All you need for End-to-end Autonomous Driving
autonomous-driving end-to-end-autonomous-driving policy-learning simulation
2076
OpenDriveLab / DriveAGI
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
autonomous-driving embodied-ai foundation-model general-artificial-intelligence policy-learning
Language:Python 538
Awesome-Robotics-3D
zubair-irshad / Awesome-Robotics-3D
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 computer-vision gaussian-splatting grasping llm manipulation nerf pointclouds policy-learning pretraining robotics scene-graph simulations vision-language-model vlm diffusion-models foundation-models navigation
466
DataCanvasIO / YLearn
YLearn, a pun of "learn why", is a python package for causal inference
causal-inference causality causal-models causal-discovery causality-analysis causality-algorithms uplift uplift-modeling policy-learning
Language:Python 395
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
Language:Python 117
metadriverse / ACO
[ECCV 2022] Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
computer-vision policy-learning pretraining
Language:Python 78
OpenDriveLab / MPI
[RSS 2024] Learning Manipulation by Predicting Interaction
policy-learning pre-training robot-manipulation
Language:Python 78
policytree
grf-labs / policytree
Policy learning via doubly robust empirical welfare maximization over trees
causal-inference policy-learning
Language:R 74
mrana6 / euclideanizing_flows
Stable dynamical system learning using Euclideanizing flows
dynamical-systems imitation-learning learning-control learning-from-demonstration policy-learning
Language:Python 12
CausalML / doubly-robust-dropel
Off-Policy Evaluation and Learning that is both Doubly Robust and Distributionally Robust.
machine-learning policy-evaluation policy-learning robustness
Language:Jupyter Notebook 7
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 koopman-operator-theory
Language:Jupyter Notebook 6
robot-learning-freiburg / TAPAS
PyTorch code for TAPAS-GMM.
artificial-intelligence imitation-learning learning-from-demonstration policy-learning pytorch robotic-manipulation robotics
4
max-eth / racer
Black-box, gradient-free optimization of car-racing policies.
gym optimization policy-learning
Language:Python 3

policy-learning

OpenDriveLab / End-to-end-Autonomous-Driving

OpenDriveLab / DriveAGI

zubair-irshad / Awesome-Robotics-3D

DataCanvasIO / YLearn

OpenDriveLab / PPGeo

metadriverse / ACO

OpenDriveLab / MPI

grf-labs / policytree

mrana6 / euclideanizing_flows

CausalML / doubly-robust-dropel

mhr / kcpo-icml

robot-learning-freiburg / TAPAS

max-eth / racer