GitHub topics: drl-algorithms
AI4Finance-Foundation/FinRL
FinRL®: Financial Reinforcement Learning. 🔥
Language: Jupyter Notebook - Size: 80.5 MB - Last synced at: 12 days ago - Pushed at: 15 days ago - Stars: 11,951 - Forks: 2,800
beltromatti/deep-reinforcement-learning
A modular, high-level Python package for Deep Reinforcement Learning, designed to simplify the implementation and study of DRL algorithms, offering an accessible and extensible framework for students, researchers, and developers.
Language: Python - Size: 831 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
negarhonarvar/DeepReinforcementLearning
A Complete Collection of Deep RL Famous Algorithms implemented in Gymnasium most Popular environments
Language: Python - Size: 6.42 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 9 - Forks: 0
jookie/jojoBot
Financial trading strategies using deep reinforcement learning (DRL). It offers a frameworks for quantitative finance, enabling practitioners to create, test, and implement investments strategies.
Language: TypeScript - Size: 86.6 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 5 - Forks: 0
Rashadows/DRL-for-ORAN-Resource-Allocation
Performance evaluation of several DRL algorithms in a discrete action-space for resource allocation in Open RAN
Language: Python - Size: 69.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
ADXu1/Deep-learning-based-autonomous-driving-Donkeycar
Learning images through deep learning to predict the steering angle value and throttle value of the car to enable autonomous driving.
Language: Python - Size: 21.5 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
The-FinAI/trials
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
Language: Python - Size: 5.43 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 90 - Forks: 22
MagicDeveloperDRL/MRL-Maze-Value-Master
本项目是作者（MRL Liu）使用AI算法的强化学习方法玩迷宫游戏的一个阶段性总结，本项目的迷宫游戏是简单的方格迷宫，其状态空间和动作空间都足够简单，是作者整理的手中的第1个RL项目。该项目重构了作者之前学习时的一些基于Value的RL算法，将它们的例如经验回放池的对象等抽象出来为一个对象，便于整理知识网络。该项目的原始算法代码使用的是莫烦Python的相关实现，在此向莫烦老师表示感谢。本项目的特色是使用了统一范式的代码来定义基于Value的算法系列的实现，封装了Q-Table和ReplayBuffer对象；添加了网络模型的保存与加载功能、TensorFlow可视化功能、经验池保存和加载等。整个项目基于良好的面向对象思想，方法定义层层推进。
Language: Python - Size: 442 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1
