mlsanityData to 14 Oct 2026

RL for energy, networks and operations

837 papers4 this weekLow confidence in this grouping: the papers may belong to more than one topic, or the group may changeLow confidence in this grouping: the papers may belong to more than one topic, or the group may change · About

Keywords: reinforcement, reinforcement learning, energy, control, deep

Key facts. RL for energy, networks and operations: 837 papers on arXiv since 2024 (data through 14 Oct 2026). 13 of its 837 mapped papers (2%) cite “Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning” (2024, arXiv 2401.15273). 12 new papers 30 Sep–14 Oct.

What’s new

30 Sep – 14 Oct 2026

12 new papers, 30 Sep – 14 Oct; 4 this week.

  1. This week · 4
  2. Deep Reinforcement Learning for HPC Job Scheduling: A Statistical Evaluation
  3. Design Space Exploration of Reinforcement Learning Configurations for Post-Legalization Placement also fits: RL for games and combinatorial optimization
  4. Learning When to Transfer: Reinforcement Learning for Carbon-Footprint Modeling in New Manufacturing Domains also fits: RL with diffusion and flow models
  5. NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning
  6. Earlier · 8
  7. Game-Theoretic Reinforcement Learning based Topology-Agnostic Defense for Virtual Power Plants
  8. Learning to Orchestrate Evolutionary Search: Progression-Aware Deep Reinforcement Learning for Dynamic DE-CMA-ES Coordination in Optimization and Structural Model Updating also fits: RL for games and combinatorial optimization
  9. Strategic Investment Decision Making for Value Creation in Energy Transition: A Reinforcement Learning Approach also fits: Adversarial robustness and RL in finance
  10. GPlaceRL: An Open-Source Graph Reinforcement Learning Framework for Detailed Placement
  11. CRAFTER: Causality-based Self-adaptation for Autonomous IoT Systems
  12. RollPlace: Improving Macro Placement via Monte Carlo Rollout Search
All 12
  1. Reinforcement Learning Techniques for the Optimization of Target Polarization in Nuclear Physics Scattering Experiments also fits: RL theory and sample complexity
  2. Reinforcement Learning-Guided Graph Transformations for SpTRSV Optimization also fits: RL for games and combinatorial optimization

Foundations

Most cited by papers here

  1. Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning2024cited by 13 here
  2. Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control2024cited by 7 here
  3. HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach2024cited by 6 here
  4. CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities2024cited by 6 here
  5. The Sample-Communication Complexity Trade-off in Federated Q-Learning2024cited by 5 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2024Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learningcited by 13 here
  2. 2024Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysiscited by 4 here
  3. 2024The Sample-Communication Complexity Trade-off in Federated Q-Learningcited by 5 here
21 more it builds on, not in this chain
  1. 2024Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networkscited by 3 here
  2. 2024One-Shot Averaging for Distributed TD(λ) Under Markov Samplingcited by 3 here
  3. 2024Global Convergence Guarantees for Federated Policy Gradient Methods with Adversariescited by 4 here
  4. 2024Learning the Optimal Power Flow: Environment Design Matterscited by 3 here
  5. 2024Compressed Federated Reinforcement Learning with a Generative Modelcited by 3 here
  6. 2024Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generationcited by 3 here
  7. 2024VC Theory for Inventory Policiescited by 3 here
  8. 2024HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approachcited by 6 here
  9. 2024CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communitiescited by 6 here
  10. 2024Python-Based Reinforcement Learning on Simulink Modelscited by 3 here
  11. 2024Reinforcement learningcited by 14 here
  12. 2024Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environmentscited by 3 here
  13. 2024Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Casescited by 3 here
  14. 2024A Review of Safe Reinforcement Learning Methods for Modern Power Systemscited by 3 here
  15. 2024Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloudcited by 3 here
  16. 2024A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2Ccited by 4 here
  17. 2024Gymnasium: A Standard Interface for Reinforcement Learning Environmentscited by 18 here
  18. 2024Control-Informed Reinforcement Learning for Chemical Processescited by 4 here
  19. 2024Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Controlcited by 7 here
  20. 2025The Crucial Role of Problem Formulation in Real-World Reinforcement Learningcited by 4 here
  21. 2025Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challengescited by 4 here

The 24 most cited of 323.

Browse

30 of 837, ranked 6–35

  1. 6Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges20254
  2. 7Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries20244
  3. 8Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis20244
  4. 9Control-Informed Reinforcement Learning for Chemical Processes20244
  5. 10Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses20253
  6. 11RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations20253
  7. 12Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networks20243
  8. 13Learning the Optimal Power Flow: Environment Design Matters20243
  9. 14Compressed Federated Reinforcement Learning with a Generative Model20243
  10. 15Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation20243
All 30
  1. 16VC Theory for Inventory Policies20243
  2. 17Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments20243
  3. 18A Review of Safe Reinforcement Learning Methods for Modern Power Systems20243
  4. 19Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud20243
  5. 20Graph Reinforcement Learning for Power Grids: A Comprehensive Survey20243
  6. 21A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC Control20243
  7. 22Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review20252
  8. 23Hierarchical RL-MPC for Demand Response Scheduling20252
  9. 24Graph-Enhanced Model-Free Reinforcement Learning Agents for Efficient Power Grid Topological Control20252
  10. 25World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks20252
  11. 26Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control20252
  12. 27Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate Control20252
  13. 28On Global Convergence Rates for Federated Softmax Policy Gradient under Heterogeneous Environments20252
  14. 29Generalization in Reinforcement Learning for Radio Access Networks20252
  15. 30Optimizing Model Splitting and Device Task Assignment for Deceptive Signal Assisted Private Multi-hop Split Learning20252
  16. 31Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation20252
  17. 32Near-Real-Time Resource Slicing for QoS Optimization in 5G O-RAN using Deep Reinforcement Learning20252
  18. 33Guiding Generative Models to Uncover Diverse and Novel Crystals via Reinforcement Learning20252
  19. 34Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning20242
  20. 35An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control20242