Key papers

• An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning (2026)
  Maximilian Dax et al.
  5.89
• Proactive Inpatient Bed Requests for Emergency Department Admissions (2026)
  QIan Cheng et al.
  5.01
• Pick-to-Learn Calibration of an MPC Policy for an Origin-to-Destination Flight Problem (2026)
  Marco C. Campi et al.
  5.01
• Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning (2026)
  Julian G. Soltes
  5.01
• Smart predict-then-robustly-optimize (2026)
  Aakil Caunhye et al.
  5.01
• From Seasonality to Semantics: Benchmarking a Hybrid Probabilistic Forecasting System for Roadblocks in Bolivia (2026)
  Rodrigo Vargas Sainz et al.
  5.01
• Safe Reinforcement Learning using Ideas from Model Predictive Control (2026)
  Georg Sch\"afer et al.
  4.39
• RLVP: Penalize the Path, Reward the Outcome (2026)
  Bojie Li et al.
  4.39
• Autonomous UAV Route Planning for Coverage Maximization in Environmental Monitoring: A Systematic Literature Review (2026)
  Sebastian Jouannet-Contreras et al.
  4.39
• Active Beyond-Diagonal RIS Empowered Heterogeneous Edge Computing: A Distributional Reinforcement Learning Approach (2026)
  Tianyu Pang et al.
  4.39
• Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift (2026)
  Jayakumar Manoharan
  4.39
• Deconstructing Actor-Critic: A Large-scale Empirical Study of Design Components for Practitioners (2026)
  Haseeb Shah et al.
  4.39
• Distributionally Robust and Safe Imitation Learning (2026)
  Ahmed Aboudonia et al.
  4.39
• Flow-aware Optimal Navigation in Unsteady Flows through Reinforcement Learning (2026)
  Andrea Maria Braghin et al.
  4.39
• Optimal and Efficient Contextual Combinatorial Semi-bandits with General Function Approximation (2026)
  Hao Qin et al.
  4.39
• Conditional Invertible Neural Networks for Data-Driven UAV Control: A 2-D Proof of Concept (2026)
  Christian Wittke et al.
  4.39
• Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems (2026)
  Xueyao Zhang et al.
  4.39
• Lyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza Pendulum (2026)
  Slava Andrejev
  4.39
• Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority (2026)
  Philip-Roman Adam et al.
  4.39
• Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft (2026)
  Zeynep Engin et al.
  4.39
• Engineering Trustworthy Agentic AI for Critical Systems (2026)
  Omar Al-Refai et al.
  4.39
• Variational meta-learning inference for low dimensional neural system identification (2026)
  Matteo Rufolo et al.
  4.39
• Robust Asynchronous Q-Learning under Reward and State Corruption via Batching (2026)
  Sreejeet Maity et al.
  4.39
• Discrete Action Space as a Prerequisite for GRPO Convergence in Small-Model Continuous Control (2026)
  Dmytro Filatov et al.
  4.39
• Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction (2026)
  Aubida A. Al-Hameed et al.
  4.39
• From biodiversity modelling to conservation action: a spatial indicator for prioritising tropical forest protection, restoration, and management (2026)
  Ma\"iri Souza Oliveira et al.
  4.39
• Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery (2026)
  Khalid El-Darymli et al.
  4.39
• When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual Auditing of Frozen Locomotion Policies (2026)
  Zongtan Li
  4.39
• Variance-Reduced Q-Learning over Static and Time-Varying Networks (2026)
  Sreejeet Maity et al.
  4.39
• Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning (2026)
  Heyang Jiang et al.
  4.39
• Integrated Order Dispatching and Routing for Last-Mile Pickup via Deep Reinforcement Learning (2026)
  Yida Xu et al.
  4.39
• Explainable Reinforcement Learning for assisting Air Traffic Controllers (2026)
  Anduel Mehmeti et al.
  4.39
• An Auto-Scaling Approach for Serverless Environments Based on a Multi-Expert Consensus Mechanism (2026)
  Mobina Kashaniyan et al.
  3.51
• Local Stability and Gaussian Smoothing of Quantized Neural Networks (2026)
  Sergey Salishev et al.
  3.51
• Online Pricing and Allocation with Demand Learning and Fulfillment Cost (2025)
  Jianyu Xu et al.
  2.06
• JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models (2026)
  Ruiyi Ding et al.
  2.00
• Sim2Win: A Team-Agnostic, Event-Based Pre-Match Outcome Prediction and Tactical Profiling System for Football (2026)
  Mouad Zemzoumi et al.
  2.00
• Optimizing Sensor Placement for Hydrogen Leak Detection in Enclosed Infrastructure: A Comparative Study Using CFD-informed Genetic Algorithm and DeepSets Neural Surrogate (2026)
  Fangnian Wang et al.
  2.00
• Meta-Learned Reward Shaping for Reinforcement Learning from Human Feedback (2026)
  Yunpeng Chu
  2.00
• Early Verdicts, Better Budgets: Sequential Adaptive Rollout Allocation for Compute-Efficient RLVR (2026)
  Pixel Nomand et al.
  2.00
• Top-$k$ Pareto Bandits: Hypervolume Regret for Multi-Objective Slate Selection (2026)
  Nicolas Gutowski et al.
  2.00
• Incast-Free MoE Rate-Based Scheduling (2026)
  Evyatar Cohen et al.
  2.00
• Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning (2026)
  Keegan Harris et al.
  2.00
• SCOUT: Per-Context Reset Curricula for Sparse-Reward Reinforcement Learning (2026)
  Siddharth Aphale et al.
  2.00
• Reinforcement Learning on Cost-Constrained Quadrupedal Hardware (2026)
  Javier C. Weddington et al.
  2.00
• Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations (2026)
  Seunghun Yu et al.
  2.00
• Parameterized Fair Resource Allocation under Diversity Constraints (2026)
  Keke Huang et al.
  2.00
• Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement Learning (2026)
  Gong Gao et al.
  2.00
• A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents (2026)
  Zhoupeng Shou et al.
  2.00
• Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL (2026)
  Mingxuan Che et al.
  2.00
• PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems (2026)
  Kaiwen Jiang et al.
  2.00
• Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach (2026)
  Cengis Hasan
  2.00
• Crossing-Free Probabilistic K-Line Forecasts Without Retraining (2026)
  Runyao Yu et al.
  2.00
• Conformalized Rate-Adaptive Sensing (2026)
  Jiawei Yang et al.
  2.00
• Belief-Guided Decision Making with Uncertainty Gating in the Game of Go (2026)
  Mehrad Yaghoubi et al.
  2.00
• Cost-Sensitive Conformal Prediction and Human-in-the-Loop Abstention for Imbalanced High-Stakes Decision Support: A Multi-Domain Benchmark (2026)
  Manpreet Singh et al.
  2.00
• Skillful forecasting of offshore winds from satellite scatterometer constellations (2026)
  Francesco Pinto et al.
  2.00
• When Do Learned Diffusion Proposals Help Constraint Solving? A Controlled Study on Continuous Algebraic Systems (2026)
  Quang Bui et al.
  2.00
• Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? (2026)
  Perry Dong et al.
  2.00
• ATOD: Annealed Turn-Aware On-Policy Distillation for Multi-Turn Agentic Tasks (2026)
  Qitai Tan et al.
  1.94