kaist-silab/meta-sage

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Python
Created over 1 year ago
Updated 12 months ago

kaist-silab/meta-sage

kaist-silab

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[ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization

rl4co

Reinforcement Learning (RL) for Combinatorial Optimization (CO) library

Jupyter Notebook

awesome-graph-pde

Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

arcsim

ARCSim 0.3.1 Fixes and Installer Script for Linux and MacOS

equity-transformer

devformer

[ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"

graphsplinenets

[NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"

Jupyter Notebook

design-baselines-fixes

Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)

bootgen

[NeurIPS 23] Official code for BootGen: "Bootstrapped Training of Score Conditioned Generator for Offline Biological Design"

sym-rd

HiMAP

[AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding

rl4co-homepage

website

Website for KAIST Systems Intelligence Laboratory (WIP)

symmetric_replay