yanzhenxiangrobotics Goto Github PK

awesome-humanoid-learning

Humanoid Robots Resources

binder_test

Testing Binder tech for Jupyter notebooks

car-racing

A toolkit for testing control and planning algorithm for car racing.

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

cheetah-software

cmu-16745-lecture-notebooks

cmu-16745-recitations

cmu_16745_hw0_s23

cmu_16745_hw1_s23

cmu_16745_hw2_s23

cmu_16745_hw3

Homework 3 for 16-745 Optimal Control at Carnegie Mellon University

daydreamer

DayDreamer: World Models for Physical Robot Learning

ddpg-2650

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

dreamer-pytorch

Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

dreamer-pytorch-yu

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)

dreamerv2

Mastering Atari with Discrete World Models

git_practice

A practice repo for forking and submitting pull requests

homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

human-level-control-through-deep-reinforcement-learning

📖 Paper: Human-level control through deep reinforcement learning 🕹️

isaacgymenvs

Isaac Gym Reinforcement Learning Environments

legged_gym

Isaac Gym Environments for Legged Robots

me331_robot-modeling-and-control_project

modernrobotics

Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

omniisaacgymenvs

Reinforcement Learning Environments for Omniverse Isaac Gym

openusd

Universal Scene Description

optml_course

EPFL Course - Optimization for Machine Learning - CS-439

oracles_and_followers

Code for the ICML 2023 paper "Oracles & Followers"

orbit

Unified framework for robot learning built on NVIDIA Isaac Sim

paired

PAIRED in PyTorch 🔥