Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
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Updated
Jun 21, 2022 - Python
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
iterative Linear Quadratic Regulator with constraints.
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)
ICalLibrary - Fast, yet simple, iCalendar reader with excellent recurrence support in Python
Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.
3D pendulum simulation from first principals
Train agents to balance an inverting pendulum
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.
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.
Yet another time tracker
Vision-Based Pendulum Control using Diffusion Policy
Inverted pendulum control with use of a genetic algorithm.
Simulations of simple and double pendulums
Double Pendulum Simulation showing chaos emerging from slightly different initial conditions.
Mechanical simulation of simple and double non-inertial pendula
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