bytedance / DRL-based-VM-ReschedulingLinks
This repo contains the implementation of deep reinforcement learning (DRL) algorithms for virtual machine rescheduling in data centers.
☆11Updated 2 years ago
Alternatives and similar repositories for DRL-based-VM-Rescheduling
Users that are interested in DRL-based-VM-Rescheduling are comparing it to the libraries listed below
Sorting:
- Resource Management with DeepRL using TF Agents☆14Updated 5 years ago
- ☆94Updated 2 years ago
- A reinforcement learning algorithm for congestion control, together with a realistic Omnet++ network simulation environment☆29Updated 2 years ago
- Fuzzy Deep Reinforcement Learning for autoscaling on clouds☆11Updated 4 years ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆30Updated 2 years ago
- a deep learning-driven scheduler for elastic training in deep learning clusters☆31Updated 4 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆27Updated 3 years ago
- ☆12Updated 10 months ago
- Variance Reduction for Reinforcement Learning in Input-Driven Environments (ICLR '19)☆31Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- BranchingDQN☆50Updated 6 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- A distributed GPU-centric experience replay system for large AI models.☆19Updated 2 years ago
- ☆37Updated 2 years ago
- meta-MADDPG (Python implementation)☆19Updated 7 years ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆13Updated 4 years ago
- Distributed deep learning cluster simulation environment and RL-GNN resource management implementations.☆14Updated 2 years ago
- Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.☆95Updated 2 years ago
- very easy implementation of dueling DQN in pytorch☆73Updated 2 years ago
- HEFT, randomHEFT and IPEFT algorithms for static list DAG Scheduling☆56Updated 6 years ago
- RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]☆63Updated 2 years ago
- ☆25Updated 3 years ago
- Learning Scheduling Algorithms for Data Processing Clusters☆315Updated 4 years ago
- A dataset of network topology, including the nodes/edges features and traffic matrices.☆18Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- ☆14Updated 6 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 7 years ago
- Modular Multi-Objective Reinforcement Learning with Decision Values☆25Updated 2 years ago
- SustainCluster: A high-fidelity, open-source Gymnasium environment for benchmarking multi-objective, sustainable workload scheduling acro…☆37Updated 3 months ago
- ☆35Updated 5 years ago