cartpole
There are 145 repositories under cartpole topic.
Rafael1s/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.
utiasDSL/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
anassinator/ilqr
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
MizuhoAOKI/python_simple_mppi
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
asieradzk/RL_Matrix
Deep Reinforcement Learning in C#
choru-k/Reinforcement-Learning-Pytorch-Cartpole
Simple Cartpole example writed with pytorch.
gsurma/cartpole
OpenAI's cartpole env solver.
jcwleo/Reinforcement_Learning
강화학습에 대한 기본적인 알고리즘 구현
Urinx/ReinforcementLearning
Reinforcing Your Learning of Reinforcement Learning
thtrieu/essence
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
fschur/DDQN-with-PyTorch-for-OpenAI-Gym
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
thowell/optimization_dynamics
Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
hanyas/trajopt
A toolbox for trajectory optimization of dynamical systems
proxima-technology/casadi_mpc_nyuumon
『PythonとCasADiで学ぶモデル予測制御』 サポートサイト
SuReLI/dyna-gym
This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
robotics-laboratory/cart-pole
CartPole control experiments.
hypnosapos/cartpole-rl-remote
CartPole game by Reinforcement Learning, a journey from training to inference
SensorsINI/CartPoleSimulation
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.
brett-daley/dqn-lambda
NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
junliangliu/DQN
使用pytorch构建深度强化学习模型DQN
Berk-Tosun/cbf-cartpole
Various Control Barrier Functions realized on cartpole.
philzook58/cart_pole
A physical and virtual cartpole
chiamp/muzero-cartpole
Applying DeepMind's MuZero algorithm to the cart pole environment in gym
VAIBHAV-2303/PiRL
Programmatically Interpretable Reinforcement Learning
EN10/CartPole
Run OpenAI Gym on a Server
fedebotu/vision-cartpole-dqn
Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN
anassinator/pddp
WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
hjorvardr/RL_Library
An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.
RPC2/DQN_PyTorch
PyTorch implementation of DQN
MahanVeisi8/RL_practices
Collection of my Reinforcement Learning (RL) practices including DQN, D3QN, and Adaptive Gamma, applied to the Lunar Lander and CartPole environments. 🚀🕹️
rperezdattari/COACH-gym
A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.
star2dust/parl-notes
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)
AadityaRavindran/gym-cartpolemod
Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
imraviagrawal/Reinforcement-Learning-Implementation
Implementation of Reinforcement Algorithms from scratch
MB-29/FLEX
Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.