lhc0512

d2l-java

The Java implementation of Dive into Deep Learning (D2L.ai)

tablesaw

Java dataframe and visualization library

DRL

Deep Reinforcement Learning

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

djl

An Engine-Agnostic Deep Learning Framework in Java

MSRGCN

Official implementation of MSR-GCN (ICCV2021 paper)

minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

EDAC

Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

LeetCode

My C++ Code for LeetCode OJ

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

CS-Xmind-Note

计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

DRL-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)

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Multi-Agent-Constrained-Policy-Optimisation

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

TRPO-in-MARL

DRL-Networking

Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.

DC-DRL

v2ray

VPS搭建VPN教程2019-V2ray教程

pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

dfac

[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning

evolution-strategies-starter

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

pymarl

Python Multi-Agent Reinforcement Learning framework

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

deeprl_network

multi-agent deep reinforcement learning for networked system control.

Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

MARL-Algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II