εΌΊεε¦δΉ δΈζζη¨οΌθθδΉ¦ποΌοΌε¨ηΊΏι θ―»ε°εοΌhttps://datawhalechina.github.io/easy-rl/
-
Updated
Dec 30, 2025 - Jupyter Notebook
εΌΊεε¦δΉ δΈζζη¨οΌθθδΉ¦ποΌοΌε¨ηΊΏι θ―»ε°εοΌhttps://datawhalechina.github.io/easy-rl/
An elegant PyTorch deep reinforcement learning library.
Simple Reinforcement learning tutorials, θ«η¦Python δΈζAIζε¦
Repo for the Deep Reinforcement Learning Nanodegree program
Massively Parallel Deep Reinforcement Learning. π₯
Modularized Implementation of Deep RL Algorithms in PyTorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
For trading. Please star.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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.
Python library for Reinforcement Learning.
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
A PyTorch library for building deep reinforcement learning agents.
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
π Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Add a description, image, and links to the ddpg topic page so that developers can more easily learn about it.
To associate your repository with the ddpg topic, visit your repo's landing page and select "manage topics."