Automated Algorithm Discovery

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18 papers in the last four weeks, up 200% on the four weeks before. 0.2% of all new papers.

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Kernel Autoresearch for Open-Ended Model Discovery
Oct 7, 2026Richard Cornelius Suwandi, Feng Yin, Kevin MurphyKernel Methods Automated Algorithm Discovery
CUHK-Shenzhen · University of British Columbia
When Algorithmic Exploration Becomes Cheap: A Case Study of Agentic Research in EDA
Oct 7, 2026Keren Zhu, Yu Deng, Xiaoyu Hao +6AI-Assisted Scientific Research Autonomous Research Agents
College of Integrated Circuits and Micro-Nano Electronics Fudan University, Shanghai, China
RLDISCOVER: LLM-driven co-evolution of reinforcement learning algorithms
Oct 6, 2026Haoran Li, Zengle Ge, Xiaomin Yuan +14Automated Algorithm Discovery Model-Free RL
University of the Chinese Academy of Sciences · Baidu · Tsinghua University +4
Discovered, Not Designed: Population Evolution for Collaborative and Compute-Intensive Model Discovery
Oct 5, 2026Bo Peng, Lizhu Zhang, Yuhang Zhou +5Automated Algorithm Discovery Evolutionary Optimization
Meta
AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding
Oct 4, 2026Mahdi Farahbakhsh, Ilan Sela, Fatemeh Doudi +4AI Agents for Scientific Discovery Automated Algorithm Discovery
Texas A&M University
Network World Models as Environments for Algorithm Design on Complex Systems
Oct 1, 2026Rishab Alagharu, Hongji Pu, Zeeshan Memon +3Automated Algorithm Discovery World Model-Based Planning
Emory University · University of Illinois Urbana-Champaign
LabBook: Harnessing Experimental History for Efficient LLM-Driven Discovery
Sep 30, 2026Bo Yuan, Wenqian Ye, Zelin Zhao +4Automated Algorithm Discovery LLM-Based Program Synthesis
Georgia Institute of Technology · University of Virginia, Charlottesville
Autoresearch in Mixed-Integer Linear and Nonlinear Programming
Sep 30, 2026Yuwei Gu, Yaoxin Wu, Tong Guo +2Automated Algorithm Discovery Mixed-Integer Linear Programming
Chengdu University of Information Technology · Eindhoven University of Technology · Nanyang University of Technology +2
Self-Evolving Algorithm-Design Agents: Escaping In-Context Evolutionary Stagnation via Population-Curated Policy Optimization
Sep 30, 2026Chen Lu, Ke Xue, Siyuan Xu +2Automated Algorithm Discovery Large Language Model-Guided Optimization
State Key Laboratory of Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · Huawei Noah’s Ark Lab, China
Is manual software optimization a thing of the past?
Sep 29, 2026Pavlin G. Poličar, Martin Špendl, Tomaž HočevarSoftware Engineering Agents Automated Algorithm Discovery
Faculty of Computer and Information Science University of Ljubljana Večna pot 113, 1000 Ljubljana, Slovenia
Evolving Towards Better Codes: LLM-Guided Search for High-Distance Binary Linear Codes
Sep 29, 2026Amal Seddas, Vladyslav Shashkov, Maryna Viazovska +1Automated Algorithm Discovery
EPFL
BiFE: Search-Efficient Discovery of CPU-Only Branching Policies via LLM-based Bi-Fidelity Evolution
Sep 29, 2026Ce Zhang, Bin Zhang, Zhiwei Xu +5Multi-Fidelity Optimization Automated Algorithm Discovery
Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences · Shandong University
HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimization
Sep 28, 2026Feijie Wu, Hugo Barbalho, Konstantina Mellou +5Automated Algorithm Discovery Automated Heuristic Design
Purdue University · Microsoft Research
Hyper Algorithm Design Agent: Evolving Learnable Optimizer from Zero
Sep 28, 2026Zipei Yu, Yue-Jiao Gong, Zeyuan Ma +2Automated Algorithm Discovery Automated Heuristic Design
South China University of Technology · South China Normal University · Singapore Management Univeristy
AlphaPareto: Formulaic Alpha Discovery with LLM-Guided Multi-Objective Reinforcement Learning
Sep 28, 2026Yingbo Zhao, Zeyu Yang, Zhoufan ZhuMulti-Objective Reinforcement Learning Non-Stationary RL
School of Economics Xiamen University Fujian, China · Paula and Gregory Chow Institute for Studies in Economics Xiamen University Fujian, China · School of Economics & Wang Yanan Institute for Studies in Economics Xiamen University Fujian, China
A New Gap Sequence for Shellsort: RL-Driven Algorithm Discovery Beyond $N^{4/3}$
Sep 24, 2026Bo LiuAutomated Algorithm Discovery
The Chinese University of Hong Kong, Shenzhen
From Intents to Algorithms: Verified Algorithm Discovery for Transport Networks
Sep 23, 2026Behnam Ojaghi, Ricard Vilalta, Raul MuñozAutomated Algorithm Discovery Formal Verification
CTTC, Castelldefels, Barcelona, Spain
Online Automated Algorithm Design with Large Language Models
Sep 21, 2026Zhiyao Zhang, Yichen Li, Xingyu Wu +2Automated Algorithm Discovery Black-Box Optimization
Department of Data Science and Artificial Intelligence The Hong Kong Polytechnic University, Hong Kong SAR 999077, China · College of Computer Science, Chongqing University, Chongqing 400044, China
AutoData: Agentic Search for Pre-training Data Selection
Sep 17, 2026Yan Meng, Dhruv Srikanth, Bingchen Zhao +2Language Model Pretraining Automated Algorithm Discovery
University of Amsterdam · Weco AI
AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery
Sep 14, 2026Junhao Qiu, Qinglong Hu, Ji Cheng +3Automated Algorithm Discovery Automated Heuristic Design
Department of Computer Science, City University of Hong Kong · Huawei Noah’s Ark Lab · Institute of Advanced Intelligence and Computing, A*STAR
GoAnt: Quality-Diversity Multi-Agent Search for Alpha Factor Discovery in Market Microstructure Data
Sep 8, 2026Stella Zhao, Tommy ShaMulti-Agent System Optimization Quantitative Finance
University of Minnesota, Minneapolis, MN, USA · Stony Brook University, Stony Brook, NY, USA
Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach
Sep 7, 2026Nguyen Thach, Hau Chan, David Parkes +1Automated Algorithm Discovery Game Theory
University of Nebraska-Lincoln Lincoln, Nebraska, USA · Harvard University Cambridge, Massachusetts, USA
AutoGraphForge: Towards Automated Graph Theory Discovery
Sep 3, 2026Ján PastorekAutomated Theorem Proving Automated Algorithm Discovery
Department of Applied Informatics, Comenius University in Bratislava, Bratislava, Slovakia
Beneath the Diff: Diagnosing and Mitigating Algorithmic Mode Collapse in Code-Level Autonomous Research Loops
Aug 31, 2026Bowei He, Weixu Zhang, Yili Jin +1Reward Hacking Automated Algorithm Discovery
MBZUAI · McGill University · MirrorSpace Technology +1
LLMs Can Design Near-Optimal OR Algorithms
Aug 27, 2026Jackie BaekInventory Control Automated Algorithm Discovery
Stern School of Business, New York University
AQuA: Recursively Self-Improving Quantitative Trading Research Agents
Aug 13, 2026Jiacheng Guo, Suozhi Huang, Yunlong Gao +5Quantitative Finance Automated Algorithm Discovery
Princeton University · Ant Group · Stanford University
ArchAgent v2: A Case Study with the Data Prefetching Championship
Aug 10, 2026Abraham Gonzalez, Raghav Gupta, Akanksha Jain +12Automated Algorithm Discovery Automated Heuristic Design
Google · University of California, Berkeley · Google DeepMind
Multi-agent discovery of practical quantum LDPC codes
Aug 10, 2026Dongheng Qian, Tianyi LiAI Agents for Scientific Discovery Automated Algorithm Discovery
State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China · Shanghai Research Center for Quantum Sciences, Shanghai 201315, China · University of Wisconsin–Madison, Madison, Wisconsin 53706, USA
Idea Search: Guiding Tree Search with Ideas to Explore Diverse Scientific Methods
Aug 9, 2026Xuefei Julie Wang, Hao Cui, Michael P. Brenner +1Inference-Time Search Automated Algorithm Discovery
California Institute of Technology · *Work done during an internship at Google Research. · Google Research +1
QuantumMind: Constraint-Grounded Agentic Reasoning for Speedup Analysis in Quantum Computing
Aug 7, 2026Yijing Zuo, Zhe Fu, Zihan Nie +2Automated Algorithm Discovery AI-Assisted Scientific Research
University of Illinois at Urbana-Champaign · Rensselaer Polytechnic Institute · Ohio State University

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Kernel Autoresearch for Open-Ended Model Discovery

Richard Cornelius Suwandi, Feng Yin, Kevin Murphy

CUHK-Shenzhen · University of British Columbia

Kernel Methods Automated Algorithm Discovery

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Kernels encode the inductive bias of a wide range of machine learning models, yet automated kernel design faces a fundamental dilemma. A fixed grammar of base kernels and operators guarantees validity but limits the search to structures expressible by those building blocks. Conversely, unrestricted programs remove this limitation but no longer guarantee validity. In our stress tests, 22-58% of LLM-generated kernels that pass numerical checks on random inputs fail when evaluated at different scales or dimensions. We propose Kernel Autoresearch (Kernaut), which treats kernel design as open-ended model discovery. Coding agents write kernels as programs, while construction contracts ensure that every accepted kernel is valid. A quality-diversity archive retains high-performing kernels with distinct behaviors, and novelty screening steers agents toward functionally new candidates. Our experiments demonstrate that the discovered kernels encode reusable inductive biases that generalize to unseen tasks. On held-out black-box optimization families, a discovered kernel outperforms a meta-learned deep kernel trained on the same episodes. Furthermore, kernels discovered from ten enzyme-kinetic rate laws achieve lower error than tuned ARD and deep kernel baselines on five unseen mechanisms. The discovered kernels are also interpretable programs that human researchers can refine: a human-refined version of one further reduces the held-out predictive error by 5.7% and optimization regret by 7.8%.

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