deep-reinforcement-learning dqn cartpole ddpg sac deep-rl-algorithms ppo a2c lunarlander td3 soft-actor-critic bipedalwalker carracing github-udacity dqn-ppo-ddpg hopperbulletenv antbulletenv halfcheetahbulleten
源代码 我把上面提到的脚本贴在这里了,有兴趣的同学也可以直接上GitHub去看看。 # gym/examples/agents/cem.pyfrom__future__importprint_functionimportgymfromgymimportwrappers,loggerimportnumpyasnpfromsix.movesimportcPickleaspickleimportjson,sys,osfromosimportpathfrom_policiesimportBinaryActionLinearPolicy# Differ...
This project is intended to play withCartPolegame using Reinforcement Learning and to know how we may train a different model experiments with enough observability (metrics/monitoring). The model is divided basically in three parts: Neural network model, QLearning algorithm and application runner. ...
git clone https://github.com/Eajunnn/Reinforcement-Learning-OpenAI-gym.git Navigate to the project directory: cd Reinforcement-Learning-OpenAI-gym Install required dependencies: pip install -r requirements.txt 🔧 How to Run Select the environment: CartPole: cartpole_main.py CarRacing: carracing...
Check out corresponding Medium article: Cartpole - Introduction to Reinforcement Learning (DQN - Deep Q-Learning) About A pole is attached by an un-actuated joint to a cart, which moves along a frictionless track. The system is controlled by applying a force of +1 or -1 to the cart. The...
https://github.com/hangsz/reinforcement_learninggithub.com/hangsz/reinforcement_learning 需要安装gym库和pytorch gym安装方式:pip install gym pytorch(选择适合自己的版本): pytorch.org/get-started 动画: 0 # coding: utf-8 __author__ = 'zhenhang.sun@gmail.com' __version__ = '1.0.0' import...
machine-learningreinforcement-learningdeep-learningtensorflowkerasopenai-gymdqnmountain-carddpgopenai-gym-environmentscartpole-v0lunar-landermountaincar-v0bipedalwalkerpendulum-v0 UpdatedJan 12, 2021 Python wisnunugroho21/reinforcement_learning_ppo_rnd
代码:https://github.com/Zeyi-Lin/SwanBook-RL/blob/main/dqn-cartpole.py 硬件环境:纯CPU可训,实测M1 Max训练3分30秒 二、什么是CartPole推车倒立摆任务? CartPole(推车倒立摆)是强化学习中经典的基准测试任务,因为其直观可视、方便调试、状态和动作空间小等特性,常用于入门教学和算法验证。它的目标是训练一个智...
https://github.com/lukewys/Gadgets-from-Lukewys/tree/master/gym-cartpole-pidgithub.com/lukewys/Gadgets-from-Lukewys/tree/master/gym-cartpole-pid发布于 2023-03-08 09:31・北京 深度强化学习 强化学习 (Reinforcement Learning) 化学 赞同2添加评论 分享喜欢收藏申请转载 ...
所有文章和代码(如果有的话)会在知乎和Github上同步捏。 上一篇文章:从零开始の深度强化学习,实战!(1)CartPole -- 环境安装 环境介绍--CartPole 环境运行截图 状态空间维度为 4,分别为位置,速度,角度,角速度 动作空间维度为 2,0向左,1向右,为离散动作 ...