policy-learning

There are 0 repository under policy-learning topic.

OpenDriveLab / End-to-end-Autonomous-Driving
All you need for End-to-end Autonomous Driving
end-to-end-autonomous-driving autonomous-driving policy-learning simulation
1473
OpenDriveLab / DriveAGI
[Incl. GenAD, CVPR 2024 Highlight] Embracing Foundation Models into Autonomous Agent and System
foundation-model autonomous-driving embodied-ai general-artificial-intelligence policy-learning
Language:Python 384
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 381
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 107
metadriverse / ACO
[ECCV 2022] Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
computer-vision policy-learning pretraining
Language:Python 79
policytree
grf-labs / policytree
Policy learning via doubly robust empirical welfare maximization over trees
causal-inference policy-learning
Language:R 73
mrana6 / euclideanizing_flows
Stable dynamical system learning using Euclideanizing flows
learning-from-demonstration imitation-learning learning-control policy-learning dynamical-systems
Language:Python 11
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 6
max-eth / racer
Black-box, gradient-free optimization of car-racing policies.
gym policy-learning optimization
Language:Python 3
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
koopman-operator-theory mpc optimal-control policy-learning robot-learning
Language:Jupyter Notebook 2

policy-learning

OpenDriveLab / End-to-end-Autonomous-Driving

OpenDriveLab / DriveAGI

DataCanvasIO / YLearn

OpenDriveLab / PPGeo

metadriverse / ACO

grf-labs / policytree

mrana6 / euclideanizing_flows

CausalML / doubly-robust-dropel

max-eth / racer

mhr / kcpo-icml