Project

Topic Document Writer
Transfer learning Transfer Learning in Reinforcement Learning Document 이태헌
Multi Agent RL Multi Agent Reinforcement Learning Document (1) 김윤석
Multi Agent Reinforcement Learning Document(2) 김변민
Human Feedback RL Human Feedback Reinforcement Learning Document (1) 김민식
Human Feedback Reinforcement Learning Document (2) 전재현
Machine Learning For Combinatorial Optimization Machine Learning For Combinatorial Optimization Document (1) 김지원
Machine Learning For Combinatorial Optimization Document (2) 김민준

Paper Review

f Paper Date Presenter Note
Transfer learning Self-ensembling for visual domain adaptation(2017) Sep.20. 2023 김민식 PDF
Transfer Learning in Deep Reinforcement Learning: A Survey(2020) 김변민 PDF
Domain Adaptation for Visual Applications: A Comprehensive Survey(2017) 김지원 PDF
A Deep Convolution Neural Network for Location Recognition Geometry based Information(2018) 김윤석 PDF
Adversarial teacher student learning for unsupervised domain adaptation(2018) 이태헌 PDF
LSTD: A Low Shot Transfer Detector for Object Detection(2018) 전재현 PDF
One-Shot Unsupervised Cross Domain Translation(2018) Sep.27, 2023 김민식 PDF
Overcoming Exploration in Reinforcement Learning with Demonstrations(2018) 김변민 PDF
AdaRL What, Where, and How to Adapt in Transfer Reinforcement Learning(2022) 김지원 PDF
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(2017) 김윤석 PDF
Do Better ImageNet Models Transfer Better(2018) 이태헌 PDF
CNN-based transfer learning-BiLSTM network A novel approach for COVID-19 infection detection(2021) 전재현 PDF
Transfer Learning via Learning to Transfer(2018) Oct.4, 2023 김민식 PDF
Reinforcement Learning from Imperfect Demonstrations(2018) 김변민 PDF
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards(2019) 김지원 PDF
Big Transfer (BiT): General Visual Representation Learning(2020) 김윤석 PDF
Regularizing CNN Transfer Learning With Randomised Regression(2020) 이태헌 PDF
Unsupervised Domain Adaptation for Face Recognition in Unlabled Videos(2017) 전재현 PDF
Multi Agent RL QMIX: Monotonic Value Function Factorization for Deep Multi-agent Reinforcement Learning (2018) Oct. 11, 2023 김변민 PDF
Multi-Agent Reinforcement Learning is A Sequence Modeling Problem (2022) 김지원 PDF
Independent double DQN-based multi-agent reinforcement learning approach for online two-stage hybrid flow shop scheduling with batch machines (2022) 김윤석 PDF
Bidirectionally-Coordinated Nets Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games (2017) 이태헌 PDF
On the Utility of Learning about Humans for Human-AI Coordination (2019) 전재현 PDF
Reinforcement Learning of Coordination in Cooperative Multi-agent Systems (2002) 김민식 PDF
Networked Reinforcement Social Learning towards Coordination in ooperative Multiagent Systems (2014) Oct. 25, 2023 김민식 PDF
Counterfactual Multi-Agent Policy Gradients (2018) 김변민 PDF
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles (2020) 김지원 PDF
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning (2022) 김윤석 PDF
Coordinated Multi-Agent Imitation Learning (2017) 이태헌 PDF
Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019) 전재현 PDF
Collaborating with Humans without Human Data (2021) Nov. 1, 2023 김민식 PDF
Stabilizing Experience Replay for Deep Multi-Agent Reinforcement Learning (2017) 김변민 PDF
Learning to Communicate with Deep Multi-Agent Reinforcement Learning (2016) 김지원 PDF
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games (2021) 김윤석 PDF
Multi agent reinforcement learning for sequential social dilemmas (2017) 이태헌 PDF
Learning with Opponent-Learning Awareness (2017) 전재현 PDF
Human Feedback RL Interactive learning from Policy-dependent Human Feedback (2017) Nov. 8, 2023 김민식 PDF
Deep Reinforcement Learning from Human Preference (2017) 김변민 PDF
Deep Reinforcement Learning with Interactive Feedback in a Human–Robot Environment (2020) 김지원 PDF
Tuning computer vision model with task rewards (2023) 김윤석 PDF
Learning to summarize from human feedback (2020) 이태헌 PDF
Few-shot Preference Learning for Human-in-the-Loop RL (2023) 전재현 PDF
Fine-Tuning Language Models from Human Preferences (2020) Nov. 22, 2023 김민식 PDF
Human Social Feedback for Efficient Interactive Reinforcement Agent Learning (2020) 김변민 PDF
Alligning Text-to-image Models using Human Feedback (2023) 김지원 PDF
ImageReward : Learning and Evaluating Human Preferences for Text-to-image Generation (2023) 김윤석 PDF
Recursively Summarizing Books with Human Feedback (2021) 이태헌 PDF
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces (2018) 전재현 PDF
Combinatorial optimization with RL Resource Management with Deep Reinforcement Learning (2016) Nov. 29, 2023 김민식 PDF
A general deep reinforcement learning hyperheuristic framework for solving combinatorial optimization problems (2023) 김변민 PDF
Neural Combinatorial Optimization with Reinforcement Learning (2016) 김지원 PDF
Deep Learning of Graph Matching (2018) 김윤석 PDF
Deep Learning-based Hybrid Graph-Coloring Algorithm for Register Allocation (2019) 이태헌 PDF
The Transformer Network for the Traveling Salesman Problem (2021) 전재현 PDF
Learning for Robust Combinatorial Optimization: Algorithm and Application (2022) Dec. 6, 2023 김민식 PDF
Online vehicle routing with neural combinatorial optimization and deep reinforcement learning (2019) 김변민 PDF
Reinforcement learning with Combinatorial Actions: An Application to Vehicle Routing (2020) 김지원 PDF
Learning deep graph matching with channel-independent embedding and Hungarian attention (2020) 김윤석 PDF
Deep Graphical Feature Learning for the Feature Matching Problem (2019) 이태헌 PDF
DECOMPDIFF: Diffusion Models with Decomposed Priors for Structure Based Drug Design (2023) 전재현 PDF