| Learning the Markov Decision Process in the Sparse Gaussian Elimination | Sep 30, 2021 | Combinatorial OptimizationQ-Learning | CodeCode Available | 1 | 5 |
| Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem | Feb 27, 2024 | Graph AttentionJob Shop Scheduling | CodeCode Available | 1 | 5 |
| MANGO: A Python Library for Parallel Hyperparameter Tuning | May 22, 2020 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV | Nov 20, 2024 | Deep Reinforcement LearningScheduling | CodeCode Available | 1 | 5 |
| Dynamic GPU Energy Optimization for Machine Learning Training Workloads | Jan 5, 2022 | BIG-bench Machine LearningGPU | CodeCode Available | 1 | 5 |
| Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks | Sep 1, 2020 | Cloud ComputingScheduling | CodeCode Available | 1 | 5 |
| Latency-aware Unified Dynamic Networks for Efficient Image Recognition | Aug 30, 2023 | GPUScheduling | CodeCode Available | 1 | 5 |
| Latency-aware Spatial-wise Dynamic Networks | Oct 12, 2022 | GPUimage-classification | CodeCode Available | 1 | 5 |
| Automated Learning Rate Scheduler for Large-batch Training | Jul 13, 2021 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization | Jan 13, 2024 | Decision MakingScheduling | CodeCode Available | 1 | 5 |
| Adaptive Deep Neural Network Inference Optimization with EENet | Jan 15, 2023 | Inference OptimizationScheduling | CodeCode Available | 1 | 5 |
| Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning | Aug 30, 2022 | Cloud ComputingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging | Dec 4, 2020 | Model Predictive ControlScheduling | CodeCode Available | 1 | 5 |
| Large Language Models for Power Scheduling: A User-Centric Approach | Jun 29, 2024 | Intent RecognitionPrompt Engineering | CodeCode Available | 1 | 5 |
| Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling | Feb 18, 2025 | Combinatorial OptimizationJob Shop Scheduling | CodeCode Available | 1 | 5 |
| Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach | Dec 1, 2023 | Deep Reinforcement LearningEdge-computing | CodeCode Available | 1 | 5 |
| Joint Load and Capacity Scheduling for Flexible Radio Resource Management of High-Throughput Satellites | Jul 11, 2024 | ManagementScheduling | CodeCode Available | 1 | 5 |
| A Unified Framework for Soft Threshold Pruning | Feb 25, 2023 | compressed sensingScheduling | CodeCode Available | 1 | 5 |
| A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation | Jun 29, 2024 | Combinatorial Optimizationreinforcement-learning | CodeCode Available | 1 | 5 |
| All is Not Lost: LLM Recovery without Checkpoints | Jun 18, 2025 | AllScheduling | CodeCode Available | 1 | 5 |
| Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health | Aug 17, 2023 | Decision MakingFairness | CodeCode Available | 1 | 5 |
| Episodic Policy Gradient Training | Dec 3, 2021 | Policy Gradient MethodsScheduling | CodeCode Available | 1 | 5 |
| Brain-to-Text Benchmark '24: Lessons Learned | Dec 23, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Probabilistic Load Forecasting Based on Adaptive Online Learning | Nov 30, 2020 | energy managementLoad Forecasting | CodeCode Available | 1 | 5 |
| FADNet: A Fast and Accurate Network for Disparity Estimation | Mar 24, 2020 | Disparity EstimationScheduling | CodeCode Available | 1 | 5 |
| Large Foundation Models for Power Systems | Dec 12, 2023 | RetrievalScheduling | CodeCode Available | 1 | 5 |
| Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling | Feb 27, 2023 | Combinatorial OptimizationImitation Learning | CodeCode Available | 1 | 5 |
| MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem | Apr 24, 2022 | Combinatorial OptimizationDiversity | CodeCode Available | 1 | 5 |
| FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity | Nov 14, 2022 | Federated LearningKnowledge Distillation | CodeCode Available | 1 | 5 |
| Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems | Aug 27, 2021 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks | Feb 6, 2020 | energy managementenergy trading | CodeCode Available | 1 | 5 |
| A Fully Adaptive DRO Multistage Framework Based on MDR for Generation Scheduling under Uncertainty | Jan 17, 2023 | Scheduling | CodeCode Available | 1 | 5 |
| Intent-aware Radio Resource Scheduling in a RAN Slicing Scenario using Reinforcement Learning | Aug 2, 2023 | ManagementScheduling | CodeCode Available | 1 | 5 |
| ODMixer: Fine-grained Spatial-temporal MLP for Metro Origin-Destination Prediction | Apr 24, 2024 | PredictionScheduling | CodeCode Available | 1 | 5 |
| Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks | Dec 2, 2020 | Deep Reinforcement LearningScheduling | CodeCode Available | 1 | 5 |
| Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs | May 20, 2025 | Scheduling | CodeCode Available | 1 | 5 |
| Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks | Dec 24, 2024 | Scheduling | CodeCode Available | 1 | 5 |
| Flipping the switch on local exploration: Genetic Algorithms with Reversals | Feb 2, 2022 | Heuristic SearchScheduling | CodeCode Available | 1 | 5 |
| Imitation Learning from Observation with Automatic Discount Scheduling | Oct 11, 2023 | Imitation Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning | Apr 27, 2021 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation | Aug 31, 2024 | Image GenerationScheduling | CodeCode Available | 1 | 5 |
| Games for Artificial Intelligence Research: A Review and Perspectives | Apr 26, 2023 | Decision MakingScheduling | CodeCode Available | 1 | 5 |
| An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents | Oct 18, 2021 | Deep Reinforcement LearningJob Shop Scheduling | CodeCode Available | 1 | 5 |
| Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling | Nov 9, 2020 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| GOAL: A Generalist Combinatorial Optimization Agent Learning | Jun 21, 2024 | Combinatorial OptimizationScheduling | CodeCode Available | 1 | 5 |
| GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments | Dec 16, 2021 | Scheduling | CodeCode Available | 1 | 5 |
| Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation | Mar 26, 2025 | Large Language ModelScheduling | CodeCode Available | 1 | 5 |
| Graph Coloring with Physics-Inspired Graph Neural Networks | Feb 3, 2022 | ClusteringCommunity Detection | CodeCode Available | 1 | 5 |
| Graph Neural Networks-Based User Pairing in Wireless Communication Systems | May 14, 2023 | Graph Neural NetworkScheduling | CodeCode Available | 1 | 5 |
| Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods | Aug 24, 2023 | Job Shop SchedulingScheduling | CodeCode Available | 1 | 5 |
