BrightFeather / deeprm_convLinks
Based on Hongzi Mao's works of deeprm: https://github.com/hongzimao/deeprm
☆12Updated 8 years ago
Alternatives and similar repositories for deeprm_conv
Users that are interested in deeprm_conv are comparing it to the libraries listed below
Sorting:
- Resource Management with Deep Reinforcement Learning (HotNets '16)☆310Updated 2 years ago
- Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practica…☆12Updated 6 years ago
- An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling☆34Updated 5 years ago
- CloudSimPy: Datacenter job scheduling simulation framework☆255Updated last year
- multi-agent deep reinforcement learning for networked system control.☆438Updated 5 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆688Updated 7 years ago
- scalable multi agents reinforcement learning☆63Updated 7 years ago
- Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.☆96Updated 2 years ago
- BranchingDQN☆51Updated 7 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆611Updated 8 years ago
- Mean Field Multi-Agent Reinforcement Learning☆415Updated 5 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆677Updated 6 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆355Updated 5 years ago
- Learning Scheduling Algorithms for Data Processing Clusters☆320Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆733Updated 2 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆379Updated 4 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆574Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆785Updated 3 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆670Updated 3 years ago
- ☆91Updated 4 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆39Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 5 years ago
- Multiagent deep reinforcement learning research project☆28Updated 2 weeks ago
- Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".☆92Updated 2 years ago
- Simple A3C implementation with pytorch + multiprocessing☆659Updated 2 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆214Updated 3 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆628Updated 7 years ago
- Reinforcement learning environment for job scheduling written in python.☆25Updated 6 years ago
- ☆29Updated 7 years ago