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ai-blog

Accompanying repository for Let's make a DQN / A3C series.

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

dag-gnn

dag-scheduling

C++ library to handle real-time DAG task and test several implemented schedulability methods from real-time literature

dag_generator

Random Directed Acyclic Graph Generator

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

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'

dsam-drl-eua

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/

edf-vd

EDFVD Implementation for FREERTOS

edf-vd-by-shimoni

Analysis of mixed criticality schedulers for resource constraint systems

edf-vd-in-c

This code would execute the EDF VD Scheduling Algorithm for mixed criticality systems as described in the paper "Mixed-Criticality Scheduling of Sporadic Task Systems " by Sanjoy Baruah, Vincenzo Bonifaci, Gianlorenzo d’Angelo, Alberto Marchetti-Spaccamela, Suzanne Ster, Leen Stougi

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'

evaluating-a-multicore-mixed-criticality-system-implementation-against-a-temporal-isolation-kernel

fjsp-drl

The code will be available after our paper is accepted.

fjspdrl

The code and data will be published after accepting our paper

madrlam

Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs

mc-dag

Mixed-Criticality DAG Framework

mc-fluid

Evaluation of Mixed-Criticality Fluid Rate Assignment Algorithms

mec_drl

Deep reinforcement learning for mobile edge computing

mec_morl_multipolicy

The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"