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Chao Huang's Projects

infogail icon infogail

Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

introduction-to-qmc icon introduction-to-qmc

A set of iPython Notebooks to illustrate how some Quantum Monte Carlo algorithms work

keras-ncp icon keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

lane-change-cbf icon lane-change-cbf

Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change

learning_to_adapt icon learning_to_adapt

Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

loveballoon icon loveballoon

:balloon:塞纳河畔,左岸的咖啡。告白气球,说出心里的小九九。https://ajlovechina.github.io/loveBalloon/.

lovetree icon lovetree

:palm_tree:爱情树,将相爱的时刻永远珍藏 (微信,QQ可完美查看)https://ajlovechina.github.io/LoveTree/

ma-airl icon ma-airl

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

maml-pytorch icon maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

metairl icon metairl

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

metaworld icon metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

midas icon midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

mpc-cbf icon mpc-cbf

"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718

mps icon mps

JetBrains Meta programming System

mstc-star icon mstc-star

code with ICRA'21 paper - (MSTC*: Multi-robot Coverage Path Planning under physical constraints)

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