Key papers

• Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning (2026)
  Jian Hu et al.
  6.72
• Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems (2026)
  Ripon C. Sarker et al.
  5.49
• Proactive Inpatient Bed Requests for Emergency Department Admissions (2026)
  QIan Cheng et al.
  5.01
• Local Stability and Gaussian Smoothing of Quantized Neural Networks (2026)
  Sergey Salishev et al.
  5.01
• Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains (2026)
  Rwik Rana et al.
  4.39
• Flow-aware Optimal Navigation in Unsteady Flows through Reinforcement Learning (2026)
  Andrea Maria Braghin et al.
  4.39
• Robust Peak-cost Constrained Reinforcement Learning (2026)
  Shilpa Mukhopadhyay et al.
  4.39
• Think at 5 Hz, Act at 20 Hz: Asynchronous Fast-Slow Vision-Language-Action Inference for Closed-Loop Driving (2026)
  Yun Li et al.
  4.39
• Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids (2026)
  Josef Hoppe et al.
  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
• Process Reward Informed Tree Rollout for Effective Multi-Turn RL (2026)
  Xintong Li et al.
  3.51
• Towards Torque-Driven Reinforcement Learning for Quadruped Locomotion (2026)
  Jordan Dowdy et al.
  3.51
• The Open Ant: A Robot Platform for Reinforcement Learning Research (2026)
  Elena Sorina Lupu et al.
  3.51
• Learning the Brain's Dynamics as a Port-Hamiltonian System: A GNN-Surrogate Metriplectic Twin for Non-Equilibrium Cortical Dynamics and Closed-Loop Neuromodulation (2026)
  Dibakar Sigdel
  2.00
• NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception (2026)
  Zhiyang Dou et al.
  2.00
• JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models (2026)
  Ruiyi Ding et al.
  2.00
• Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation (2026)
  Martin Andrews
  2.00
• Discrete Action Space as a Prerequisite for GRPO Convergence in Small-Model Continuous Control (2026)
  Dmytro Filatov et al.
  2.00
• Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning (2026)
  Julian G. Soltes
  2.00
• Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations (2026)
  Jonathan Gallagher et al.
  2.00
• Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning (2026)
  Timothy Tomashevskiy
  2.00
• Natural Invariant Measures for Chaotic Game Dynamics: Finding Order in Chaos (2026)
  Jakub Bielawski et al.
  2.00
• A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks (2026)
  Bertil Braun
  2.00
• When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual Auditing of Frozen Locomotion Policies (2026)
  Zongtan Li
  2.00
• Variance-Reduced Q-Learning over Static and Time-Varying Networks (2026)
  Sreejeet Maity et al.
  2.00
• Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning (2026)
  Heyang Jiang et al.
  2.00
• Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability (2026)
  Yi Liu et al.
  2.00
• Deconstructing Off-Policy Ratios: Entropy-Scaled Trust Regions for Asynchronous Reinforcement Learning (2026)
  Guanqun Zhao et al.
  2.00
• Trajectory-Regularized Stochastic Optimal Control via KL Divergence (2026)
  Mintae Kim et al.
  2.00
• Integrated Order Dispatching and Routing for Last-Mile Pickup via Deep Reinforcement Learning (2026)
  Yida Xu et al.
  2.00
• On the Identifiability of Controlled World Models (2026)
  Xiangteng Zhang et al.
  2.00
• TRACE-ROUTER: Task-Consistent and Adaptive Online Routing for Agentic AI (2026)
  Ritik Raj et al.
  2.00
• Optimal Transport Image Representation and Deep Covariance Alignment (CORAL) for Control Valve Stiction Detection (2026)
  Seshu K. Damarla
  2.00
• Explainable Reinforcement Learning for assisting Air Traffic Controllers (2026)
  Anduel Mehmeti et al.
  2.00
• Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systems (2026)
  Bingnan Xiao et al.
  1.94
• Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair (2026)
  Yuelin Hu et al.
  1.83
• Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning (2026)
  Pritthijit Nath et al.
  1.67
• Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning (2026)
  Muhammad Ahmed Atif et al.
  1.67
• Safe In-Context Reinforcement Learning (2025)
  Amir Moeini et al.
  1.44
• Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning (2025)
  Wu Fei et al.
  1.33
• Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression (2025)
  Yigit Berkay Uslu et al.
  1.28
• Online Pricing and Allocation with Demand Learning and Fulfillment Cost (2025)
  Jianyu Xu et al.
  1.00