Awesome Optimization & Control

Safe Learning For Uncertainty-aware Planning Via Interval MDP Abstraction (2022)

Jesse Jiang, Ye Zhao, Samuel Coogan

9.23

Decaying Clipping Range In Proximal Policy Optimization (2021)

Mónika Farsang, Luca Szegletes

6.77

Nonconvex Composite Functional Constraints via First-Order Augmented Lagrangian Methods under Local Regularity (2026)

Linglingzhi Zhu et al.

5.49

Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems (2026)

Ripon C. Sarker et al.

5.49

Safe Guaranteed Exploration For Non-linear Systems (2024)

Manish Prajapat, Johannes Köhler, Matteo Turchetta, et al.

5.24

Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing (2026)

Hyung-Jin Yoon et al.

5.01

Understanding Schedule-Free Methods in Nonconvex Optimization: Rate Guarantees and Escaping Saddles (2026)

Jiseok Chae et al.

5.01

Graph-Regularized Low-Rank Matrix Completion by Variable Projection (2026)

Beno\^it Loucheur et al.

5.01

Proactive Inpatient Bed Requests for Emergency Department Admissions (2026)

QIan Cheng et al.

5.01

A Globally Asymptotically Stable Planar Homogeneous Polynomial Vector Field With No Polynomial Lyapunov Function (2026)

Jun Liu et al.

5.01

Beyond Ellipsoids: Semi-Algebraic Tightening for Chance Constraints Under Actuator Saturation (2026)

Carlo Karam et al.

5.01

Foundations of Machine-Checked Control Theory in Lean (2026)

Moritz Doll et al.

5.01

Optimal Perimeter Guarding With Heterogeneous Robot Teams: Complexity Analysis And Effective Algorithms (2019)

Si Wei Feng, Jingjin Yu

3.58

Tight Formulations for Unit Commitment with Different Levels of Details -- Part I: Models and Theoretical Insights (2026)

Maaike B. Elgersma et al.

3.51

Lifting-Free Quadratic Sum-Of-Squares Programming (2026)

Gabriel F. Machado et al.

3.51

Scaling Internal-state Policy-gradient Methods For Pomdps (2025)

Douglas Aberdeen, Jonathan Baxter

1.61

Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints (2025)

Mattia Piazza and Mattia Piccinini and Sebastiano Taddei and Francesco Biral and Enrico Bertolazzi

1.44

Anytime Incremental $\rho$pomdp Planning In Continuous Spaces (2025)

Ron Benchetrit, Idan Lev-Yehudi, Andrey Zhitnikov, et al.

1.28

Sample Complexity Of Distributionally Robust Average-reward Reinforcement Learning (2025)

Zijun Chen, Shengbo Wang, Nian Si

1.28

Online Velocity Profile Generation and Tracking for Sampling-Based Local Planning Algorithms in Autonomous Racing Environments (2025)

Alexander Langmann et al.

1.22

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection (2025)

Sapir Tubul et al.

1.06

Motion Planning For Automata-based Objectives Using Efficient Gradient-based Methods (2024)

Anand Balakrishnan, Merve Atasever, Jyotirmoy V. Deshmukh

0.00

Stochastic Online Optimization For Cyber-physical And Robotic Systems (2024)

Hao Ma, Melanie Zeilinger, Michael Muehlebach

0.00

Dimensionality Reduction And Prioritized Exploration For Policy Search (2022)

Marius Memmel, Puze Liu, Davide Tateo, et al.

0.00

Discrete-time Nonlinear Systems Identification With Probabilistic Safety And Stability Constraints (2021)

Iman Salehi, Tyler Taplin, Ashwin P. Dani

0.00

Optimistic Distributionally Robust Policy Optimization (2020)

Jun Song, Chaoyue Zhao

0.00

Computing Complexity-aware Plans Using Kolmogorov Complexity (2021)

Elis Stefansson, Karl H. Johansson

0.00

Free-configuration Biased Sampling for Motion Planning: Errata (2013)

Joshua Bialkowski and Michael Otte and Emilio Frazzoli

—

Revisiting the Asymptotic Optimality of RRT$^*$ (2019)

Kiril Solovey et al.

—

Optimization Algorithm-Based Approach for Modelling Large Deflection of Cantilever Beam Subjected to Tip Load (2020)

Fei Gao et al.

—

Feasible Region-based Identification Using Duality (Extended Version) (2020)

Jaskaran Grover et al.

—

Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements (2020)

Ke Sun et al.

—

An Autonomous Driving Framework for Long-term Decision-making and Short-term Trajectory Planning on Frenet Space (2020)

Majid Moghadam et al.

—

An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space (2021)

Antony Thomas and Fulvio Mastrogiovanni and Marco Baglietto

—

Belief Space Planning for Mobile Robots with Range Sensors using iLQG (2021)

Ke Sun et al.

—

LTO: Lazy Trajectory Optimization with Graph-Search Planning for High DOF Robots in Cluttered Environments (2021)

Yuki Shirai et al.

—

DT*: Temporal Logic Path Planning in a Dynamic Environment (2021)

Priya Purohit and Indranil Saha

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Admissible heuristics for obstacle clearance optimization objectives (2021)

Marlin P. Strub and Jonathan D. Gammell

—

Approximate Computing for Robotic path planning -- Experimentation, Case Study and Practical Implications (2021)

Hrishav Bakul Barua

—

Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in Crowds (2021)

Lukas Huber et al.

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GoSafe: Globally Optimal Safe Robot Learning (2021)

Dominik Baumann and Alonso Marco and Matteo Turchetta and Sebastian Trimpe

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Strobe: An Acceleration Meta-algorithm for Optimizing Robot Paths using Concurrent Interleaved Sub-Epoch Pods (2021)

Daniel Rakita et al.

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Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments (2021)

Inkyu Jang et al.

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Collision Avoidance Using Spherical Harmonics (2021)

Steven Patrick and Efstathios Bakolas

—

Partially Observable Markov Decision Processes (POMDPs) and Robotics (2021)

Hanna Kurniawati

—

Probabilistic Guaranteed Path Planning for Safe Urban Air Mobility Using Chance Constrained RRT (2021)

Pengcheng Wu et al.

—

Risk-Aware Motion Planning in Partially Known Environments (2021)

Fernando S. Barbosa et al.

—

Orientation Probabilistic Movement Primitives on Riemannian Manifolds (2021)

Leonel Rozo and Vedant Dave

—

Learning Provably Robust Motion Planners Using Funnel Libraries (2021)

Ali Ekin Gurgen et al.

—

Optimal Vehicle Path Planning Using Quadratic Optimization for Baidu Apollo Open Platform (2021)

Yajia Zhang et al.

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RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization (2022)

Nikolaos Kourtzanidis et al.

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Learning Time-optimized Path Tracking with or without Sensory Feedback (2022)

Jonas C. Kiemel et al.

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Gradient-Based Trajectory Optimization With Learned Dynamics (2022)

Bhavya Sukhija et al.

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Moving Target Interception Considering Dynamic Environment (2022)

Chendi Qu et al.

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Collision Detection Accelerated: An Optimization Perspective (2022)

Louis Montaut et al.

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Guiding Vector Fields for Following Occluded Paths (2022)

Weijia Yao et al.

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What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry (2022)

Roberto Aldera et al.

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Potential Field-based Path Planning with Interactive Speed Optimization for Autonomous Vehicles (2023)

Pengfei Lin et al.

—

Real-Time Capable Decision Making for Autonomous Driving Using Reachable Sets (2023)

Niklas Kochdumper and Stanley Bak

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Awesome Optimization & Control

Key papers

Optimization & Control

Awesome Optimization & Control

Key papers