sk413025
My research is about reinforcement learning and optimal control.
Academia SinicaTaipei, Taiwan
Pinned Repositories
asrpy
Artifact Subspace Reconstruction for Python
bioimitation-gym
An OpenAI-Gym Package for Training and Testing Reinforcement Learning algorithms with OpenSim Models
cmake-cookbook
CMake Cookbook recipes.
compy-learn
ComPy-Learn is a framework for exploring program representations for ML4CODE tasks.
deepdive
Rigid body tracking with HTC Vive trackers
pybullet-example
sk413025's Repositories
sk413025/asrpy
Artifact Subspace Reconstruction for Python
sk413025/bioimitation-gym
An OpenAI-Gym Package for Training and Testing Reinforcement Learning algorithms with OpenSim Models
sk413025/cmake-cookbook
CMake Cookbook recipes.
sk413025/compy-learn
ComPy-Learn is a framework for exploring program representations for ML4CODE tasks.
sk413025/deepdive
Rigid body tracking with HTC Vive trackers
sk413025/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.
sk413025/pybullet-example
sk413025/docker
Docker-related material to setup, configure and develop with micro-ROS hardware.
sk413025/DSC2014Tutorial
台灣資料科學愛好者年會的資料科學上手課程的輔助用套件
sk413025/hypertorch
sk413025/iLQG-MuJoCo
Iterative LQG for a couple of MuJoCo models
sk413025/ilqr-gym
Iterative LQR controller operating in OpenAI Gym environment.
sk413025/implicit
Fast Python Collaborative Filtering for Implicit Datasets
sk413025/IR2Vec
Implementation of IR2Vec, published in ACM TACO
sk413025/jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
sk413025/libcg
sk413025/Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
sk413025/popi_project
Here is everything you need to know about POPI, our open-source quadruped robot. If you want to check the videos we will release about it, you can have a look at our YouTube channel.
sk413025/PyCrawlers
sk413025/R_Tutorial_Vagrant
sk413025/safety-starter-agents
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
sk413025/SCALE-UP
sk413025/scone-core
Software for performing predictive simulations of biological motion
sk413025/StructuredOptimization.jl
Structured optimization in Julia