Paper Citation Record · LEDGER

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review

As of 18 August 2026, this Paper Citation Record lists 100 of 220 outbound references and 3 inbound Pith citation observations for arXiv:2501.01007.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.01007 v1

Coverage vector

measured 100 of 220 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:40:31.954544Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:19:19.132931Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T13:54:51.342682Z

Reference resolution

100 of 220 outbound references displayed

verified exact1
verified fuzzy0
unresolved99
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54f1f23f-2307-4622-8196-d24018e8d8a3 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Unresolved cited work

Reference 1

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Observation b12cfa77-dc18-4ee6-94c9-c71598ebb36e · outbound

This paper cites Scalable discovery of hybrid process models in a cloud computing environment,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Scalable discovery of hybrid process models in a cloud computing environment,

Reference 2

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Observation 9b3164fc-a741-45f5-8d0a-e403b4460e89 · outbound

This paper cites Differentiate quality of experience scheduling for deep learning in- ferences with docker containers in the cloud,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Differentiate quality of experience scheduling for deep learning in- ferences with docker containers in the cloud,

Reference 3

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Observation d6f4b881-bfaf-43a6-a21e-e58cce6705dd · outbound

This paper cites Distributed artificial intelligence empowered by end-edge-cloud com- puting: A survey,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Distributed artificial intelligence empowered by end-edge-cloud com- puting: A survey,

Reference 4

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Observation 6143caf6-61d4-4b58-afe1-9a1372b93aed · outbound

This paper cites Resource scheduling in edge computing: A survey,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Resource scheduling in edge computing: A survey,

Reference 5

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Observation 5396c0a2-8cca-44b2-9e41-f0a00de0319c · outbound

This paper cites A2c-drl: Dynamic scheduling for stochastic edge-cloud environments using a2c and deep reinforcement learning,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A2c-drl: Dynamic scheduling for stochastic edge-cloud environments using a2c and deep reinforcement learning,

Reference 6

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Observation f5a1deba-ee4b-45a1-b40a-871e0bedae61 · outbound

This paper cites Cost-aware job scheduling for cloud instances using deep reinforce- ment learning,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Cost-aware job scheduling for cloud instances using deep reinforce- ment learning,

Reference 7

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Observation 4bb0223d-d010-4954-acb1-d5a4a8208f01 · outbound

This paper cites Dynamic On-Demand Ma- chine Provisioning and Continuous Resource Management,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Dynamic On-Demand Ma- chine Provisioning and Continuous Resource Management,

Reference 8

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Observation 1ef61b12-6e10-405f-b1a8-be502a6de6b2 · outbound

This paper cites Real-time dynamic pricing for revenue manage- ment with reusable resources, advance reservation, and deterministic service time requirements,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Real-time dynamic pricing for revenue manage- ment with reusable resources, advance reservation, and deterministic service time requirements,

Reference 9

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Observation d41ad0b1-1765-499b-b848-6016950034d0 · outbound

This paper cites Resource Allocation for Genera- tive AI Workloads: Advanced Cloud Resource Management Strategies for Optimized Model Performance,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Resource Allocation for Genera- tive AI Workloads: Advanced Cloud Resource Management Strategies for Optimized Model Performance,

Reference 10

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Observation 3a5cc217-b464-40c3-b109-771c7a0b32c2 · outbound

This paper cites Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach,

Reference 11

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Observation c22576c4-3b73-4b1b-bb12-85bba06c16e8 · outbound

This paper cites A low-cost multi-failure resilient replication scheme for high-data availability in cloud storage,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A low-cost multi-failure resilient replication scheme for high-data availability in cloud storage,

Reference 12

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Observation e8397a8a-18bc-4ea1-9568-5a07550d3575 · outbound

This paper cites Recent advances of resource allocation in network function virtualization,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Recent advances of resource allocation in network function virtualization,

Reference 13

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Observation 26b9b1b5-b66d-476c-b9d2-ce5d87e67fa4 · outbound

This paper cites A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges,

Reference 14

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Observation b0fae3d9-aa40-4551-8eeb-5ad5de1b0ddf · outbound

This paper cites Task scheduling in cloud computing based on meta-heuristics: review, tax- onomy, open challenges, and future trends,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Task scheduling in cloud computing based on meta-heuristics: review, tax- onomy, open challenges, and future trends,

Reference 15

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Observation 4d43445a-898a-4f2f-bbe3-55d0f225b367 · outbound

This paper cites A survey on PSO based meta- heuristic scheduling mechanism in cloud computing environment,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A survey on PSO based meta- heuristic scheduling mechanism in cloud computing environment,

Reference 16

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Observation ddd9611e-f0e5-4891-b0c2-1232f16b6796 · outbound

This paper cites Resource management and scheduling in distributed stream processing systems: a taxonomy, review, and future directions,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Resource management and scheduling in distributed stream processing systems: a taxonomy, review, and future directions,

Reference 17

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Observation d8163727-384b-4150-94d2-d499023b478a · outbound

This paper cites Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions,

Reference 18

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Observation 249b074d-563d-44b5-bc4f-3742995f9a99 · outbound

This paper cites Resource allocation and service provisioning in multi-agent cloud robotics: A comprehensive survey,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Resource allocation and service provisioning in multi-agent cloud robotics: A comprehensive survey,

Reference 19

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This paper cites Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions,

Reference 20

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This paper cites Deep rein- forcement learning-based scheduling in distributed systems: a critical review,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Deep rein- forcement learning-based scheduling in distributed systems: a critical review,

Reference 21

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Observation 173a4baa-4539-4a7d-b0b6-25c38a6aa175 · outbound

This paper cites Comparative study of scheduling al-gorithms in cloud computing environment,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Comparative study of scheduling al-gorithms in cloud computing environment,

Reference 22

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review User-priority guided Min-Min scheduling algorithm for load balancing in cloud computing,

Reference 23

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Observation 5aed7efc-d8db-4c22-a65f-443ba7919dc9 · outbound

This paper cites A heuristic- based task scheduling algorithm for scientific workflows in heteroge- neous cloud computing platforms,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A heuristic- based task scheduling algorithm for scientific workflows in heteroge- neous cloud computing platforms,

Reference 24

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review PGA: a priority-aware genetic algorithm for task scheduling in heterogeneous fog-cloud computing,

Reference 25

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This paper cites A WOA-based optimization approach for task scheduling in cloud computing systems,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A WOA-based optimization approach for task scheduling in cloud computing systems,

Reference 26

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A Novel Distributed Fog-Based Networked Architecture to Preserve Energy in Fog Data Centers,

Reference 27

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This paper cites Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets,

Reference 28

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A Multi- Objective Task Scheduling Method for Fog Computing in Cyber- Physical-Social Services,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Optimizing resource scheduling based on extended particle swarm optimization in fog computing envi- ronments,

Reference 30

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A deep reinforcement learning-based preemptive approach for cost-aware cloud job scheduling,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Reinforcement learning: An introduction,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Deep Reinforcement Learning: An Overview

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Exploration in deep reinforcement learning: A survey,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Learning relation in crowd using gated graph convolutional networks for drl-based robot navigation,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Marp: A cooperative multiagent drl system for connected autonomous vehicle platooning,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Deep reinforcement learning for communication flow control in wireless mesh networks,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Deep reinforcement learning for load-balancing aware network control in iot edge systems,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Taxonomies of workflow scheduling problem and techniques in the cloud,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review An integrated optimization method to task scheduling and vm placement for green datacenters,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Job scheduling in hybrid clouds with privacy constraints: A deep reinforcement learning approach,

Reference 41

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Security-driven heuristics and a fast genetic algorithm for trusted grid job scheduling,

Reference 42

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Scheduling jobs across geo- distributed datacenters with max-min fairness,

Reference 43

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Pricing schemes in cloud computing: an overview,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Qos aware job scheduling in a cluster-based web server for multimedia applications,

Reference 45

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This paper cites Approximate data mapping in refresh-free dram for energy-efficient computing in modern mobile systems,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Approximate data mapping in refresh-free dram for energy-efficient computing in modern mobile systems,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Energy-latency trade-off analysis for scientific workflow in cloud environments: the role of processor utilization ratio and mean grey wolf optimizer,

Reference 47

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A data and task co-scheduling algorithm for scientific cloud workflows,

Reference 48

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Performance-effective and low-complexity task scheduling for heterogeneous computing,

Reference 49

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Endpoint communication contention- aware cloud workflow scheduling,

Reference 50

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This paper cites A Deep Reinforcement Learning based Algorithm for Time and Cost Optimized Scaling of Serverless Applications.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A Deep Reinforcement Learning based Algorithm for Time and Cost Optimized Scaling of Serverless Applications

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This paper cites A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning,.

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Deep reinforce- ment learning-based computation offloading and resource allocation in security-aware mobile edge computing,

Reference 53

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Multi-Agent Deep Reinforcement Learning-Based Partial Task Offloading and Resource Allocation in Edge Computing Environment,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Policy learning with constraints in model-free reinforcement learning: A survey,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Actor-critic algorithms,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Performance analysis of deep q networks and advantage actor critic algorithms in designing reinforcement learning-based self-tuning pid controllers,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Exact numerical simulation of the ornstein-uhlenbeck process and its integral,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Pantheonrl: A marl library for dynamic training interactions,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Imp-marl: a suite of environments for large-scale infrastructure management plan- ning via marl,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Multi- uav cooperative search based on reinforcement learning with a digital twin driven training framework,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Robust multi-agent reinforcement learning via minimax deep deterministic policy gradient,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Independent policy gradient methods for competitive reinforcement learning,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Distributed nash equilibrium seek- ing in games with partial decision information: A survey,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review ’other-pla‘ for zero- shot coordination,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Model-based multi-agent rl in zero-sum markov games with near-optimal sample complexity,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A td3-based multi-agent deep reinforce- ment learning method in mixed cooperation-competition environment,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Phase transitions in random circuit sampling,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Demonstration of logical qubits and repeated error correction with better-than-physical error rates,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Drlbtsa: Deep reinforcement learning based task-scheduling algorithm in cloud computing,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Drl-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud ser- vice providers,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Adaptive drl-based task scheduling for energy-efficient cloud computing,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Optimizing energy efficiency for data center via parameterized deep reinforcement learning,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review An agent-based model for resource provisioning and task scheduling in cloud computing using drl,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Deep reinforcement learning enhanced greedy optimization for online scheduling of batched tasks in cloud hpc systems,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Ddqn-ts: A novel bi- objective intelligent scheduling algorithm in the cloud environment,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Task scheduling for mobile edge computing leveraging deep reinforcement learning,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Online dispatching and fair scheduling of edge computing tasks: A learning- based approach,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Improved double deep q network-based task scheduling algorithm in edge computing for makespan optimization,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A double deep q-learning model for energy-efficient edge scheduling,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Optimal policy characterization enhanced proximal policy optimization for multitask scheduling in cloud computing,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Cloud task scheduling based on proximal policy optimization algorithm for lowering energy consumption of data center

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review A deep reinforcement learning approach to resource management in hybrid clouds harnessing renewable energy and task scheduling,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Slas-aware online task scheduling based on deep reinforcement learning method in cloud environment,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Performance and cost-aware task scheduling via deep reinforcement learning in cloud environment,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Etpam: An efficient task pre- assignment and migration algorithm in heterogeneous edge-cloud computing environments,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Dynamic scheduling for stochastic edge-cloud computing environments using a3c learning and residual recurrent neural networks,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Online joint scheduling of delay-sensitive and computation-oriented tasks in edge computing,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Dynamic task allocation and service migration in edge-cloud iot system based on deep reinforcement learning,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Reliability-aware: task scheduling in cloud computing using multi-agent reinforcement learn- ing algorithm and neural fitted q

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Orchestrated scheduling and multi-agent deep reinforcement learning for cloud- assisted multi-UA V charging systems,

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Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Distributed task scheduling in serverless edge computing networks for the internet of things: A learning approach,

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