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刘腾飞's Projects

backdoor_cl icon backdoor_cl

ECAI-24 paper: Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning

branch-and-bound icon branch-and-bound

Machine Learning papers for variables selection in Branch and Bound(B&B)

decision-transformer icon decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

distributedevolutionarycomputation icon distributedevolutionarycomputation

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.

dtqn icon dtqn

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

ebook-1 icon ebook-1

A collection of classic computer science books from Internet

flash-linux0.11-talk icon flash-linux0.11-talk

你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码

learn2branch icon learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

learn2comparenodes icon learn2comparenodes

Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)

openai-baselines icon openai-baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pypop icon pypop

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their Large-Scale versions/variants.

q-transformer icon q-transformer

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

retro_branching_offline icon retro_branching_offline

Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.

system_architect icon system_architect

🐍 2024年软考 (杭州e类已过)系统架构设计师资料整理复习(软考高级) 二战 20天备考通过🎉🎉🎉2024年5月份的上半年系统架构师(压线过 52/46/45) 掘金文章总结体验 https://juejin.cn/post/7372757076937359395

tbrant icon tbrant

[KBS 2022] Official implementation of "Learning to Branch with Tree-aware Branching Transformers".

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