Official implementation of ICLR'2026 paper titled "Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement"

Official implementation of the paper: [IEEE TITS] Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver

[ICLR 2026] Neural Combinatorial Optimization for Real-World Routing

Official implementation of paper "Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation".

A curated list of awesome LLM Inference-Time Self-Improvement (ITSI, pronounced "itsy") papers from our recent survey: A Survey on Large Language Model Inference-Time Self-Improvement.

LLM4AD: A Platform for Algorithm Design with Large Language Model

Official implementation of NeurIPS'24 paper "Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer".

Official implementation of NeurIPS'24 Spotlight paper "Monte Carlo Tree Search based Space Transfer for Black-box Optimization".

Algorithms to solve and features to characterise TSP problems.

An EDA toolchain for integrated core-memory interval thermal simulations of 2D, 2.5, and 3D multi-/many-core processors

GDS3D is an application that can interpret so called IC layouts and render them in 3D. The program accepts standard GDSII files as input data. Along with the layout file, it requires a so called pr…

Official repository for the paper "MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization"

Official implementation of ICML25 paper "Neural Solver Selection for Combinatorial Optimization".

Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".

The Neural Combinatorial Optimization Library (NCOLib) is an accessible software library designed to simplify the application of neural network models and deep learning algorithms to solve combinat…

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

[TMLR 2025 → ICML 2026] RouteFinder: Towards Foundation Models for Vehicle Routing Problems

Official Implementation of the paper: INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer

The repository is created for AR2L algorithm used for solving online 3D-BPP.

Recent research papers about Foundation Models for Combinatorial Optimization

Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"

Official implementation of NeurIPS'23 paper "Macro Placement by Wire-Mask-Guided Black-Box Optimization"

Official implementation of IJCAI'23 paper "Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting"

Official implementation of ICLR'24 spotlight paper "Sample-Efficient Quality-Diversity by Cooperative Coevolution".

Official implementation of AAAI'24 paper "Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation"

Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy"

multi-task learning for routing problem

codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"