Wei Qiu | DeepAI

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∙ 02/07/2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning

Recent advances in multi-agent reinforcement learning (MARL) allow agent...

0 Rundong Wang, et al. ∙

∙ 01/02/2023

Learning to Maximize Mutual Information for Dynamic Feature Selection

Feature selection helps reduce data acquisition costs in ML, but the sta...

0 Ian Covert, et al. ∙

∙ 11/07/2022

CELLS: A Parallel Corpus for Biomedical Lay Language Generation

Recent lay language generation systems have used Transformer models trai...

0 Yue Guo, et al. ∙

∙ 10/18/2022

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning

Despite the recent advancement in multi-agent reinforcement learning (MA...

5 Wei Qiu, et al. ∙

∙ 05/27/2022

Off-Beat Multi-Agent Reinforcement Learning

We investigate model-free multi-agent reinforcement learning (MARL) in e...

4 Wei Qiu, et al. ∙

∙ 08/09/2021

Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning

Recent studies in multi-agent communicative reinforcement learning (MACR...

0 Wanqi Xue, et al. ∙

∙ 06/13/2021

Contingency-Aware Influence Maximization: A Reinforcement Learning Approach

The influence maximization (IM) problem aims at finding a subset of seed...

23 Haipeng Chen, et al. ∙

∙ 02/16/2021

RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents

Current value-based multi-agent reinforcement learning methods optimize ...

0 Wei Qiu, et al. ∙

∙ 12/23/2020

IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks

Missing value imputation is a challenging and well-researched topic in d...

0 Wei Qiu, et al. ∙

∙ 11/16/2019

Learning Efficient Multi-agent Communication: An Information Bottleneck Approach

Many real-world multi-agent reinforcement learning applications require ...

0 Rundong Wang, et al. ∙

∙ 10/07/2019

Multi-label Detection and Classification of Red Blood Cells in Microscopic Images

Cell detection and cell type classification from biomedical images play ...

56 Wei Qiu, et al. ∙

∙ 10/01/2019

Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging

Imaging-based early diagnosis of Alzheimer Disease (AD) has become an ef...

0 Jiaming Guo, et al. ∙

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