Nikhil Singh's repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
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.
continuous_control-unitree-a1
⚗️ Synthesize 🧠 neural 🕸️networks to 🎮 control quadruped 🤖 robot 🐕 dog Unitree A1 with 💁 reinforcement 🤔 learning
CS253_TA
Slides and Code for the Python Lectures under CS253
cs639-project
Project under CS639
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
DL_PyTorch
Code for the Deep Learning with PyTorch lesson
efficient-calibration-embedded-MPC
Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad
garage
A toolkit for reproducible reinforcement learning research.
gym-jsbsim-f16
A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model
gymfc
A universal flight control tuning framework
NeuralVerification.jl
Methods to soundly verify deep neural networks
pfrl
PFRL: a PyTorch-based deep reinforcement learning library
PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Robot-Learning-From-Scratch
How to train a robot to learn skills from scratch
WoodFisher
Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)