JM-Wu-BIT's repositories
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, ... 🧠
attention-learn-to-route
Attention based model for learning to solve different routing problems
AURIX_code_examples
This repository contains code example projects for the AURIX™ Development Studio.
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
CPS-NTU-Public
Conference and Journal Paper Implementations
dag-gen-rnd
dag-gen-rnd: A randomized Multi-DAG task generator for scheduling and allocation research
Deep-Reinforcement-Learning-Algorithms-with-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, DQN, PPO, DDPG, TD3, SAC, ASL)
Deep-Reinforcement-Learning-Algorithms-with-PyTorch-1
PyTorch implementations of deep reinforcement learning algorithms and environments
DRL-and-graph-neural-network-for-routing-problems
This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'
DynMORL
Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
End-to-end-DRL-for-FJSP
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
FJSP-DRL
The code will be available after our paper is accepted.
mec_morl_multipolicy
The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"
morl-baselines
Multi-Objective Reinforcement Learning algorithms implementations.
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
PhD-Thesis-Projects
This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop
PPOxFamily
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
RD-Gen
RD-Gen (random DAG generator considering multi-rate applications for reproducible scheduling evaluation) is a tool for researchers targeting DAGs.
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
sumo-rl
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
TC375_RTThread
基于Hightec+TC375TP的RTThread移植
TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
tianshou
An elegant PyTorch deep reinforcement learning library.