Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
ddqn 开源项目推荐(204 个)
ddqn 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 204 个仓库Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
深度强化学习算法的 PyTorch 实现。
Reinforcement learning tutorials
基于深度强化学习(DRL)的面向QoE计算卸载算法,适用于移动边缘计算(MEC)|该算法通过将双重深度Q网络(D3QN)模型与长短期记忆(LSTM)网络集成,捕捉了MEC环境的动态。
AI research environment for the Atari 2600 games 🤖.
《Deep Reinforcement Learning》的代码仓库。
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
The implement of all kinds of dqn reinforcement learning with Pytorch
This projects aims to use reinforcement learning algorithms to play the game 2048.
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
Keras implementation of DQN on ViZDoom environment
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
This code is the result of the collaboration of RL Turkey team.
Snake game with neural network AI model
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
Using pytorch to implement DQN / DDQN / Atari DDQN
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/ddqn。
- 该话题在 GitHub 上共有 204 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4897 Star,覆盖 3 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。