Awesome Systems & Control

Key papers

• Synthesizing Decentralized Controllers With Graph Neural Networks And Imitation Learning (2020)
  Fernando Gama, Qingbiao Li, Ekaterina Tolstaya, et al.
  11.08
• CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles (2026)
  Pragya Sharma et al.
  4.39
• For How Long Should We Be Punching? Learning Action Duration in Fighting Games (2026)
  Hoang Hai Nguyen et al.
  4.33
• Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement Learning (2026)
  Wu Yang
  2.00
• Adaptive Oscillatory-State Alignment for Time Series Forecasting (2026)
  Zhangyao Song et al.
  2.00
• Pavlovian-Inspired Cue-Outcome Association for Autonomous Agent Navigation (2026)
  M. Saeidi et al.
  2.00
• An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum (2026)
  Suvi De Silva et al.
  1.94
• Generative Profiling for Soft Real-Time Systems and its Applications to Resource Allocation (2026)
  Georgiy A. Bondar et al.
  1.89
• Neural Operators for Multi-Task Control and Adaptation (2026)
  David Sewell et al.
  1.89
• Diffusion Sequence Models for Generative In-Context Meta-Learning of Robot Dynamics (2026)
  Angelo Moroncelli et al.
  1.89
• Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control (2026)
  Julian Skifstad et al.
  1.89
• Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning (2026)
  Akshay Mete et al.
  1.78
• SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks (2026)
  Zirui Zang et al.
  1.78
• Learning to accelerate Krasnosel'skii-Mann fixed-point iterations with guarantees (2026)
  Andrea Martin et al.
  1.72
• Feasibility-aware Learning of Robust Temporal Logic Controllers using BarrierNet (2025)
  Wenliang Liu et al.
  1.67
• Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming (2025)
  Ningwei Bai et al.
  1.67
• Scaling up Stability: Reinforcement Learning for Distributed Control of Networked Systems in the Space of Stabilizing Policies (2025)
  John Cao et al.
  1.67
• Active Constraint Learning in High Dimensions from Demonstrations (2025)
  Zheng Qiu et al.
  1.67
• MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control (2025)
  Yongwei Zhang et al.
  1.67
• SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning (2025)
  Tzu-Yuan Huang et al.
  1.61
• Zero-Shot Function Encoder-Based Differentiable Predictive Control (2025)
  Hassan Iqbal et al.
  1.61
• Stabilizing Policy Gradient Methods via Reward Profiling (2025)
  Shihab Ahmed et al.
  1.61
• Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis (2025)
  Carlo Bosio et al.
  1.56
• Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning (2025)
  Nicol\`o Dal Fabbro et al.
  1.56
• Adaptive Federated Learning via Dynamical System Model (2025)
  Aayushya Agarwal et al.
  1.56
• Multi-level informed optimization via decomposed Kriging for large design problems under uncertainty (2025)
  Enrico Ampellio et al.
  1.56
• MAKO: Meta-Adaptive Koopman Operators for Learning-based Model Predictive Control of Parametrically Uncertain Nonlinear Systems (2025)
  Minghao Han et al.
  1.56
• SpecAttn: Speculating Sparse Attention (2025)
  Harsh Shah
  1.56
• Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions (2025)
  \'Angel Aso-Mollar and Diego Aineto and Enrico Scala and Eva Onaindia
  1.50
• TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals (2025)
  Stefan Podgorski et al.
  1.50
• Prompt2Auto: From Motion Prompt to Automated Control via Geometry-Invariant One-Shot Gaussian Process Learning (2025)
  Zewen Yang et al.
  1.50
• OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction (2025)
  Lujie Yang et al.
  1.50
• Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments (2025)
  Bojan Deraji\'c et al.
  1.44
• A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control (2025)
  Sebastian Hirt et al.
  1.44
• Jointly Computation- and Communication-Efficient Distributed Learning (2025)
  Xiaoxing Ren et al.
  1.44
• Distributed Fault-Tolerant Multi-Robot Cooperative Localization in Adversarial Environments (2025)
  Tohid Kargar Tasooji and Ramviyas Parasuraman
  1.39
• Compression Method for Deep Diagonal State Space Model Based on $H^2$ Optimal Reduction (2025)
  Hiroki Sakamoto and Kazuhiro Sato
  1.39
• ZORMS-LfD: Learning from Demonstrations with Zeroth-Order Random Matrix Search (2025)
  Olivia Dry et al.
  1.39
• Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning (2025)
  Jiayu Li et al.
  1.33
• Time-Aware World Model for Adaptive Prediction and Control (2025)
  Anh N. Nhu et al.
  1.33
• Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xApps (2025)
  Mohammadreza Kouchaki et al.
  1.33
• Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI (2025)
  Hang Yang et al.
  1.33
• Distributionally robust minimization in meta-learning for system identification (2025)
  Matteo Rufolo et al.
  1.33
• Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment (2025)
  Muhy Eddin Za'ter et al.
  1.28
• Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach (2025)
  Hao Fang et al.
  1.28
• Geometric SSM: LTI State Space Models for Selective Tasks (2025)
  Umberto Casti and Giacomo Baggio and Sandro Zampieri and Fabio Pasqualetti
  1.28
• Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures (2025)
  Dongzhe Zheng et al.
  1.28
• Improving Mixed-Criticality Scheduling with Reinforcement Learning (2025)
  Muhammad El-Mahdy et al.
  1.22
• TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion (2025)
  Amr Mousa et al.
  1.17
• Multi-Task Semantic Communications via Large Models (2025)
  Wanli Ni et al.
  1.17
• L2RU: a Structured State Space Model with prescribed L2-bound (2025)
  Leonardo Massai et al.
  1.17
• Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications (2025)
  Bo Wen et al.
  1.11
• Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks (2025)
  Vince Kurtz and Joel W. Burdick
  1.11
• Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach (2025)
  Jiazheng Chen and Wanchun Liu
  1.06
• Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks (2025)
  Ruijia Liu et al.
  1.06
• G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation (2024)
  Tianxing Chen et al.
  0.94
• DSSE: a drone swarm search environment (2023)
  Manuel Castanares et al.
  0.06
• Optimal By Design: Model-driven Synthesis Of Adaptation Strategies For Autonomous Systems (2020)
  Yehia Elrakaiby, Paola Spoletini, Bashar Nuseibeh
  0.00
• Adaptive Input Estimation in Linear Dynamical Systems with Applications to Learning-from-Observations (2018)
  Sebastian Curi et al.
  —
• Control Regularization for Reduced Variance Reinforcement Learning (2019)
  Richard Cheng et al.
  —