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)
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.
Train agents to balance an inverting pendulum
RK4 simulation of damped and driven simple pendulum to investigate chaotic behaviour of nonlinear systems.
Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC)
Inverted pendulum control with use of a genetic algorithm.
Mechanical simulation of simple and double non-inertial pendula
3D pendulum simulation from first principals
Keeping inversed pendulum balanced with fuzzy logic.
Pendulum simulation
Django API for Onidata test
Simulate and visualise various dynamic system
Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.
This repository contains codes of deep deducing solving the classic control problems.
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