Topic: cartpole Goto Github
Some thing interesting about cartpole
Some thing interesting about cartpole
cartpole,Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
User: aadityaravindran
cartpole,Reinforcement learning algorithms to solve OpenAI gym environments
User: adesgautam
cartpole,Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
User: anassinator
cartpole,WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
User: anassinator
cartpole,Optimal control solver implemented in Python. SymPy for symbolic differentiation and Numba for fast computation.
User: arcuma
cartpole,This is a solution for CartPole game using deep Q learning and Openai.gym library
User: arminsadreddin
cartpole,Deep Reinforcement Learning in C#
User: asieradzk
cartpole,Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC)
User: babyapple
cartpole,Various Control Barrier Functions realized on cartpole.
User: berk-tosun
cartpole,NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
User: brett-daley
cartpole,Applying DeepMind's MuZero algorithm to the cart pole environment in gym
User: chiamp
cartpole,Using PSO algorithm to play CartPole
User: farahbakhsh3
cartpole,Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN
User: fedebotu
cartpole,Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
User: fschur
cartpole,Simple Cartpole example writed with pytorch.
User: g6ling
cartpole,
User: girishvjoshi
cartpole,OpenAI's cartpole env solver.
User: gsurma
Home Page: https://gsurma.github.io
cartpole,A toolbox for trajectory optimization of dynamical systems
User: hanyas
cartpole,An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.
User: hjorvardr
cartpole,CartPole game by Reinforcement Learning, a journey from training to inference
Organization: hypnosapos
cartpole,Implementation of Reinforcement Algorithms from scratch
User: imraviagrawal
cartpole,:space_invader: My solutions to OpenAI Gym Reinforcement Learning problems.
User: ioarun
cartpole,강화학습에 대한 기본적인 알고리즘 구현
User: jcwleo
cartpole,使用pytorch构建深度强化学习模型DQN
User: junliangliu
cartpole,Q-Learning for Cartpole (CMSC389F)
User: kevinniechen
cartpole,The classic Cart Pole game implemented in JavaScript, and powered by TensorFlow.js.
User: magiccube
cartpole,Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.
User: mb-29
Home Page: https://mb-29.github.io/projects/exploration/
cartpole,强化学习 CartPole环境,Tensorflow实现DQN。
User: miaoz0
cartpole,Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
User: mizuhoaoki
cartpole,My DRL(Deep Reinforcement Learning ) algorithm demo, base on pytorch and gym environment.
User: nikuleo
cartpole,A physical and virtual cartpole
User: philzook58
cartpole,『PythonとCasADiで学ぶモデル予測制御』 サポートサイト
Organization: proxima-technology
Home Page: https://amzn.asia/d/8TwVTO3
cartpole,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.
User: rafael1s
cartpole,CartPole control experiments.
Organization: robotics-laboratory
Home Page: https://cartpole.robotics-lab.ru
cartpole,PyTorch implementation of DQN
User: rpc2
cartpole,A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.
User: rperezdattari
cartpole,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.
Organization: sensorsini
cartpole,(deep reinforcement learning) An tensorflow2 implementation of DQN and improvements. Solved after 31s using cpu.
User: sorryformyself
cartpole,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)
User: star2dust
Home Page: https://star2dust.github.io/parl-notes/
cartpole,This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
Organization: sureli
cartpole,Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
User: thowell
cartpole,AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
User: thtrieu
cartpole,Reinforcing Your Learning of Reinforcement Learning
User: urinx
cartpole,PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Organization: utiasdsl
Home Page: https://www.dynsyslab.org/safe-robot-learning/
cartpole,Programmatically Interpretable Reinforcement Learning
User: vaibhav-2303
cartpole,Implement some of the core deep RL algorithms with C++
User: xffxff
cartpole,Implementation of Curiosity-Driven Exploration with PyTorch
User: yangyangii
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