Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

iterative Linear Quadratic Regulator with support for constraints on input and state variables via barrier functions—Numba-accelerated.

A toolbox for trajectory optimization of dynamical systems

Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space

Open AI Gym - Pendulum-v1 reinforcement learning (DQN, SAC)

clear single-file JAX implementations of common RL algorithms

ICalLibrary - Fast, yet simple, iCalendar reader with excellent recurrence support in Python

Train agents to balance an inverting pendulum

A gym-like classical control benchmark for evaluating the robustnesses of control and reinforcement learning algorithms.

Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.

3D pendulum simulation from first principals

Fully customizable/interactable pendulum simulation with 3 PDE methods and an ability to use none of them. Comes with a GUI; Is easily generalizable. PDE-s derived from MatLab.

Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC)

A simple Python program, which allows the automatic symbolic creation of the Lagrange equations for pendulums and similar objects. Furthermore a numerical solver is used in order to approximate the solutions.

Vision-Based Pendulum Control using Diffusion Policy

Yet another time tracker

Double Pendulum Simulation showing chaos emerging from slightly different initial conditions.

Tracking a pendulum using a Raspberry Pi Cam V2 and OpenCV

Simulations of simple and double pendulums

Inverted pendulum control with use of a genetic algorithm.