Key papers

• Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids (2026)
  Omar Al-Refai et al.
  4.33
• ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies (2026)
  Ignacio D. Lopez-Miguel et al.
  4.33
• BattVAE-GP: Generative Modeling of Long-Horizon Battery Degradation with Uncertainty Quantification (2026)
  Raghvender Raghvender et al.
  4.33
• Modeling rare-earth and energy materials supply chains under theoretical China-outer-Mongolia political reunification scenarios (2026)
  Xi Liu et al.
  4.33
• Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority (2026)
  Philip-Roman Adam et al.
  4.33
• Multi-Timescale Latent-Action DRL for Joint Optimization in Edge-Cloud Networks (2026)
  Vo Phi Son et al.
  4.33
• Dynamic Loss Balancing for Joint SOH and RUL Prediction of Lithium-Ion Batteries via a Rotary SOH-Injected Prior Battery Transformer (2026)
  Shuhao Chen et al.
  4.33
• Decentralized Multi-agent Reinforcement Learning for Resilient Critical Infrastructures (2026)
  Minghui Ding et al.
  4.33
• Scalable Policy Optimization for Networked Multi-Agent Reinforcement Learning with Continuous State-Action Spaces (2026)
  Dongming Wang et al.
  4.33
• Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States (2026)
  Armin Sommer
  4.33
• A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space (2026)
  Shuangyao Huang
  4.33
• Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals (2026)
  Syed Sajid Ullah et al.
  4.33
• Reinforcement Learning for Delivery Drone-Based Participatory Sensing in Dynamic Environments (2026)
  Xin Ouyang et al.
  4.33
• Unsupervised Multi-kernel Learning for Automated Algorithm Selection (2026)
  Yihang Lu et al.
  4.33
• Conservative Query and Adaptive Regularization for Offline RL Under Uncertainty Estimation (2026)
  Li-Rong Zhou et al.
  4.33
• S3: Stable Subgoal Selection by Constraining Uncertainty of Coarse Dynamics in Hierarchical Reinforcement Learning (2026)
  Kshitij Kumar Srivastava et al.
  4.33
• A Reinforcement-Learning-Augmented Liquid-Fueled Reactor Network Model for Predicting Lean Blowout in Gas Turbine Combustors (2026)
  Philip John et al.
  4.33
• Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions (2026)
  Zeyu Bian et al.
  4.33
• Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a Physics-Informed Extension (2026)
  R\"udiger Kempf
  3.45
• Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization (2026)
  Sounaq Das et al.
  3.45
• Robust In-Hand Manipulation via Priors in Reinforcement Learning and Mechanical Design (2026)
  Yifei Chen et al.
  3.45
• Learning-enabled Acceleration of Scenario-based Model Predictive Control (2026)
  Trinh Tran et al.
  3.45
• Certified-Gap Dual-Price Policies for Real-Time Truckload Bid Acceptance with Relocating, Clock-Constrained Resources (2026)
  Aswin Chandrasekaran
  3.45
• On Incentivized Exploration beyond Bayesianism and Full-Information (2026)
  Dimitar Chakarov et al.
  3.45
• End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation (2026)
  Jingzheng Li et al.
  3.45
• Beyond Single-Episode Optimization: Sliding-Window Aware Generative Auto-Bidding for Long-Term Advertising Effectiveness (2026)
  Binglin Wu et al.
  3.45
• Distributed Implementation of Variational Quantum Eigensolver to Solve QUBO Problems (2025)
  Milad Hasanzadeh et al.
  2.40
• Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing (2026)
  Amin Beheshti et al.
  1.94
• Symmetry-Protected Quantum Computing using Metamaterials (2026)
  Neil F. Johnson et al.
  1.89
• From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data (2026)
  King Yiu Yu et al.
  1.83
• EQISA: Energy-efficient Quantum Instruction Set Architecture using Sparse Dictionary Learning (2026)
  Sibasish Mishra et al.
  1.72
• Frequency- and Amplitude-Modulated Gates for Universal Quantum Control (2025)
  Qi Ding et al.
  1.50
• Robust NbN on Si-SiGe hybrid superconducting-semiconducting microwave quantum circuit (2025)
  Paniz Foshat et al.
  1.39
• Alleviating CoD in Renewable Energy Profile Clustering Using an Optical Quantum Computer (2025)
  Chengjun Liu et al.
  1.22
• Heisenberg-limited calibration of entangling gates with robust phase estimation (2025)
  Kenneth Rudinger et al.
  1.00
• Temporal Information Processing on Noisy Quantum Computers (2020)
  Jiayin Chen and Hendra I. Nurdin and Naoki Yamamoto
  —
• Faster and More Reliable Quantum SWAPs via Native Gates (2021)
  Pranav Gokhale et al.
  —
• Low-pass filter with ultra-wide stopband for quantum computing applications (2022)
  Robert Rehammar et al.
  —
• Hybrid Gate-Pulse Model for Variational Quantum Algorithms (2022)
  Zhiding Liang et al.
  —
• Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers (2024)
  Junyao Zhang et al.
  —
• Cryogenic Control and Readout Integrated Circuits for Solid-State Quantum Computing (2024)
  Lingxiao Lei et al.
  —
• Engineering high-Q superconducting tantalum microwave coplanar waveguide resonators for compact coherent quantum circuits (2024)
  Shima Poorgholam-Khanjari et al.
  —