LyuJZ's Stars
ompl/ompl
The Open Motion Planning Library (OMPL)
facebookresearch/theseus
A library for differentiable nonlinear optimization
pypose/pypose
A library for differentiable robotics.
leggedrobotics/rsl_rl
Fast and simple implementation of RL algorithms, designed to run fully on GPU.
isaac-sim/IsaacLab
Unified framework for robot learning built on NVIDIA Isaac Sim
Skylark0924/Rofunc
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
luisgarciar/3D-bin-packing
Solving the 3D bin packing problem with reinforcement learning
eureka-research/Eureka
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
isaac-sim/IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
krahets/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
carismoses/CIO
Implementation of Contact Invariant Optimization (CIO) by Mordatch, et al.
UM-ARM-Lab/pytorch_kinematics
Robot kinematics implemented in pytorch
facebookresearch/differentiable-robot-model
We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.
jgoppert/control-systems
Control Systems
tud-airlab/mppi-isaac
Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated
yzqin/isaacgym-stubs
Isaac Gym Python Stubs for Code Completion
neurreps/awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
mit-acl/mppi_numba
A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
Shunichi09/PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
UM-ARM-Lab/pytorch_mppi
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
locuslab/mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
ZhengyiLuo/UHC
Official Implementation of the Universal Humanoid Controller in Mujoco. Supports Kinpoly (NeurIPS 2021) and EmbodiedPose (NeurIPS 2022).
Toni-SM/skrl
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
patorrad/pytorch_mppi_UR16e
google-deepmind/mujoco_mpc
Real-time behaviour synthesis with MuJoCo, using Predictive Control
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
changkun/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/