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PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Deep Reinforcement Learning with pytorch & visdom
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Open source code for paper: Multi-Agent Deep Reinforcement Learning Based Multi-Task Partial Computation Offloading in Mobile Edge Computing
Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing
Official implementation of the paper "MTL-Split: Multi-Task Learning for Edge Devices using Split Computing" accepted @ DAC 2024.
QuantumVerse-Nexus is a cutting-edge blockchain platform designed to harness the power of quantum computing, artificial intelligence, and decentralized finance.
Lightweight version of MAPPO to help you quickly migrate to your local environment.
Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.
[TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
This project proposes a DRL-based fault-tolerant task offloading method for Mobile Edge-Cloud Computing. Using a DDPG algorithm, it minimizes latency and enhances reliability for delay-sensitive ta…
Cross-task Attention Mechanism for Dense Multi-task Learning (WACV 2023)
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning
This study presents a task offloading algorithm that considers social relationships, task dependencies, energy consumption, and latency. It optimizes four modes—local, D2D, edge, and mixed executio…
Code for "Multi-task Reinforcement Learning with Soft Modularization"
A lightweight module for Multi-Task Learning in pytorch.
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
A PyTorch Library for Multi-Task Learning
[IEEE TMC 2020] "Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach" and [IEEE GlobeCom 2023] "A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Co…