Hejia Zhang (hejia-zhang)

hejia-zhang

Geek Repo

Company:@icaros-usc

Location:Los Angeles, USA

Home Page:hejiazhang.me

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Organizations
icaros-usc
personalrobotics
rlworkgroup

Hejia Zhang's repositories

awesome-model-based-reinforcement-learning

A curated list of awesome Model-based reinforcement learning resources

libwave

C++ library for hardware-accelerated video stream decoding

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aikido

Artificial Intelligence for Kinematics, Dynamics, and Optimization

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assistive-gym

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

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cvxpylayers

Differentiable convex optimization layers

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FindPoco

cmake find module to find an installed poco

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grounded_LTL_parser

[CoRL 2020] Learning a natural-language to LTL executable semantic parser for grounded robotics

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labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

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MAGAIL

Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning

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MARLeME

General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems

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multiagent-gail

multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)

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neural_sketch

neural sketch project, currently in generative regex, list transformation (deepcoder), and text editing (robustfill) domains

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planning-wiki

By the community, for everyone. Planning.wiki is the online guide to AI Planning

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poco_restful_webservice

A RESTful API using Poco C++ Libraries.

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prob_mbrl

A library of probabilistic model based RL algorithms in pytorch

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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qpth

A fast and differentiable QP solver for PyTorch.

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RPN

Code Repository for Regression Planning Networks

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SciencePlots

Matplotlib styles for scientific plotting

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smt4pddl

Use SMT solver to plan PDDL problems

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tiny-differentiable-simulator

Tiny Differentiable Simulator is a header-only C++ physics library with zero dependencies.

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USCthesis

LaTeX template in accordance with the University of Southern California Theses and Dissertations Formatting Guidelines.

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watch_and_help

Code for the paper Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration

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