세미나

You Only Cache Once: Decoder-Decoder Architectures for Language Models (2024)

RHO-1: Not All Tokens Are What You Need (2024)

Neural Combinatorial Optimization with Heavy Decoder:
Toward Large Scale Generalization(2023)

Hard Tasks First: Multi-Task Reinforcement Learning
Through Task Scheduling (2024)

Solving flexible job shop scheduling problems via deep reinforcement learning (2024)

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization (2023)

A novel method-based reinforcement learning with deep temporal difference network for flexible double shop scheduling problem (2024)

Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning (2023)

Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach (2023)

Reinforcement learning using fully connected, attention, and transformer models in knapsack problem solving (2021)  

The Transformer Network for the Traveling Salesman Problem (2021) &  Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems (2021) 

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning (2020)

Real-Time Decision Making for a Car Manufacturing Process Using Deep Reinforcement Learning (2020)

Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study(2019) 

 Look-Ahead Based Reinforcement Learning for Robotic Flow Shop Scheduling(2023) 

A Deep Reinforcement Learning Framework Based on an Attention Mechanism and Disjunctive Graph Embedding for the Job-Shop Scheduling Problem (2023)

An End-to-End Deep Reinforcement Learning Approach for Job Shop Scheduling (2022) 

Stochastic Economic Lot Scheduling via SelfAttention Based Deep Reinforcement Learning (2022) 

Lenovo Schedules Laptop Manufacturing Using Deep Reinforcement Learning (2022)

PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model (2022) 

DCPR-GAN : Dental Crown Prosthesis Restoration Using Two-Stage Generative Adversarial Networks (2022)

A Dual Discriminator Adversarial Learning Approach for Dental Occlusal Surface Reconstruction (2022)

Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling With Sequence Dependent Family Setups (2021) 

Matrix Encoding Networks for Neural Combinatorial Optimization (2021) 

Encoding in Style : a StyleGAN Encoder for Image-to-Image Translation (2021)

An Image Is Worth 16x16 Words: Transformer for Image Recognition at Scale (2021)

POMO : Policy Optimization with Multiple Optima for Reinforcement Learning (2020)

Analyzing and Improving the Image Quality of StyleGAN (2020)

Attention, Learn to Solve Routing Problems! (2019)  

Pointer Networks (2017) 

Mastering the game of Go with deep neural networks and tree search (2016)

Deep Residual Learning for Image Recognition (2015)

Robust Optimization for Process Scheduling Under Uncertainty (2008)

Decision Transformer : Reinforcement Learning via Sequence Modeling (2021)

Neural Combinatorial Optimization with Reinforcement Learning (2017) 

Neural Machine Translation by Jointly Learning to Align and Translate (2015)