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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.
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Simple Cartpole example writed with pytorch.
강화학습에 대한 기본적인 알고리즘 구현
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Reinforcing Your Learning of Reinforcement Learning
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
Reinforcement Learning Agents in .NET
CartPole game by Reinforcement Learning, a journey from training to inference
NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
Various Control Barrier Functions realized on cartpole.
Applying DeepMind's MuZero algorithm to the cart pole environment in gym
This repository contains CartPole simulator with its GUI, implemented controller (LQR) and generator of random desired position trace. It also contains files to train and test RNN predicting future states of a CartPole.
Programmatically Interpretable Reinforcement Learning
WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN
An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.
A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.
A tutorial to learn RL from examples. This is my notes from a course of Baidu PaddlePaddle. (世界冠军带你从零实践强化学习)
Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
Implementation of Reinforcement Algorithms from scratch
This is a solution for CartPole game using deep Q learning and Openai.gym library
:space_invader: My solutions to OpenAI Gym Reinforcement Learning problems.