most citedRethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

8 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.BM2022

Random Copolymer inverse design system orienting on Accurate discovering of Antimicrobial peptide-mimetic copolymers

Tianyu Wu, Yang Tang

Antimicrobial resistance is one of the biggest health problem, especially in the current period of COVID-19 pandemic. Due to the unique membrane-destruction bactericidal mechanism,…

cs.LG20222 cited

Molecular Joint Representation Learning via Multi-modal Information

Tianyu Wu, Yang Tang, Qiyu Sun +1

In recent years, artificial intelligence has played an important role on accelerating the whole process of drug discovery. Various of molecular representation schemes of different…

cs.CV2022

The Monocular Depth Estimation Challenge

Jaime Spencer, C. Stella Qian, Chris Russell +16

This paper summarizes the results of the first Monocular Depth Estimation Challenge (MDEC) organized at WACV2023. This challenge evaluated the progress of self-supervised monocular…

cs.CV2022

Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning

Wenqi Ren, Qiyu Sun, Chaoqiang Zhao +1

Learning-based image dehazing methods are essential to assist autonomous systems in enhancing reliability. Due to the domain gap between synthetic and real domains, the internal in…

cs.CV20225 cited

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview

Wenqi Ren, Yang Tang, Qiyu Sun +2

Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a cr…

cs.MA20228 cited

Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

Yitian Hong, Yaochu Jin, Yang Tang

In cooperative multi-agent reinforcement learning, centralized training and decentralized execution (CTDE) has achieved remarkable success. Individual Global Max (IGM) decompositio…