Search Results for author: Wei Qiu

Found 18 papers, 4 papers with code

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning

no code implementations7 Feb 2023 Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan

Despite its success, ACL's applicability is limited by (1) the lack of a general student framework for dealing with the varying number of agents across tasks and the sparse reward problem, and (2) the non-stationarity of the teacher's task due to ever-changing student strategies.

Multi-agent Reinforcement Learning reinforcement-learning +1

Learning to Maximize Mutual Information for Dynamic Feature Selection

1 code implementation2 Jan 2023 Ian Covert, Wei Qiu, Mingyu Lu, Nayoon Kim, Nathan White, Su-In Lee

Feature selection helps reduce data acquisition costs in ML, but the standard approach is to train models with static feature subsets.

feature selection Reinforcement Learning (RL)

Retrieval augmentation of large language models for lay language generation

1 code implementation7 Nov 2022 Yue Guo, Wei Qiu, Gondy Leroy, Sheng Wang, Trevor Cohen

Recent lay language generation systems have used Transformer models trained on a parallel corpus to increase health information accessibility.

Explanation Generation Retrieval +1

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning

no code implementations18 Oct 2022 Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu

Despite the recent advancement in multi-agent reinforcement learning (MARL), the MARL agents easily overfit the training environment and perform poorly in the evaluation scenarios where other agents behave differently.

Multi-agent Reinforcement Learning reinforcement-learning +1

RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents

no code implementations NeurIPS 2021 Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich

Current value-based multi-agent reinforcement learning methods optimize individual Q values to guide individuals' behaviours via centralized training with decentralized execution (CTDE).

Multi-agent Reinforcement Learning reinforcement-learning +3

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

no code implementations9 Aug 2021 Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo

Empirical results demonstrate that many state-of-the-art MACRL methods are vulnerable to message attacks, and our method can significantly improve their robustness.

Multi-agent Reinforcement Learning reinforcement-learning +1

Contingency-Aware Influence Maximization: A Reinforcement Learning Approach

1 code implementation13 Jun 2021 Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe

Empirical results show that our method achieves influence as high as the state-of-the-art methods for contingency-aware IM, while having negligible runtime at test phase.

Combinatorial Optimization reinforcement-learning +1

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

no code implementations16 Feb 2021 Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich

Current value-based multi-agent reinforcement learning methods optimize individual Q values to guide individuals' behaviours via centralized training with decentralized execution (CTDE).

Multi-agent Reinforcement Learning reinforcement-learning +3

RMIX: Risk-Sensitive Multi-Agent Reinforcement Learning

no code implementations1 Jan 2021 Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich

Centralized training with decentralized execution (CTDE) has become an important paradigm in multi-agent reinforcement learning (MARL).

Multi-agent Reinforcement Learning reinforcement-learning +3

Automated Lay Language Summarization of Biomedical Scientific Reviews

1 code implementation23 Dec 2020 Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen

Health literacy has emerged as a crucial factor in making appropriate health decisions and ensuring treatment outcomes.

Data Augmentation

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

no code implementations7 Oct 2019 Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li

As the six networks are trained with image patches consisting of both individual cells and touching/overlapping cells, they can effectively recognize cell types that are presented in multi-instance image samples.

Cell Detection Classification +2

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

no code implementations1 Oct 2019 Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li

Imaging-based early diagnosis of Alzheimer Disease (AD) has become an effective approach, especially by using nuclear medicine imaging techniques such as Positron Emission Topography (PET).

Clustering Graph Clustering

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