b'Yang Yu'

research

∙ 06/10/2022

Adversarial Counterfactual Environment Model Learning

A good model for action-effect prediction, named environment model, is i...

Xiong-Hui Chen, et al. ∙

research

∙ 06/04/2022

Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning

Value function estimation is an indispensable subroutine in reinforcemen...

Xue-Kun Jin, et al. ∙

research

∙ 06/03/2022

Offline Reinforcement Learning with Causal Structured World Models

Model-based methods have recently shown promising for offline reinforcem...

Zheng-Mao Zhu, et al. ∙

research

∙ 06/01/2022

Model Generation with Provable Coverability for Offline Reinforcement Learning

Model-based offline optimization with dynamics-aware policy provides a n...

Chengxing Jia, et al. ∙

research

∙ 06/01/2022

Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble

Inverse reinforcement learning (IRL) recovers the underlying reward func...

Fan-Ming Luo, et al. ∙

research

∙ 05/19/2022

Defending Against Adversarial Attacks by Energy Storage Facility

Adversarial attacks on data-driven algorithms applied in pow-er system w...

Jiawei Li, et al. ∙

research

∙ 03/29/2022

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation

Automatic surgical scene segmentation is fundamental for facilitating co...

Yueming Jin, et al. ∙

research

∙ 03/28/2022

Enhancing Neural Mathematical Reasoning by Abductive Combination with Symbolic Library

Mathematical reasoning recently has been shown as a hard challenge for n...

Yangyang Hu, et al. ∙

research

∙ 03/22/2022

A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle

Q-learning with function approximation could diverge in the off-policy s...

Ziniu Li, et al. ∙

research

∙ 02/24/2022

Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech

In this paper, we introduce a novel language identification system based...

Quan Wang, et al. ∙

research

∙ 02/14/2022

UA-FedRec: Untargeted Attack on Federated News Recommendation

News recommendation is critical for personalized news distribution. Fede...

Jingwei Yi, et al. ∙

research

∙ 02/05/2022

Rethinking ValueDice: Does It Really Improve Performance?

Since the introduction of GAIL, adversarial imitation learning (AIL) met...

Ziniu Li, et al. ∙

research

∙ 12/28/2021

Online Allocation with Two-sided Resource Constraints

Motivated by many interesting real-world applications in logistics and o...

Qixin Zhang, et al. ∙

research

∙ 12/20/2021

RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction

The main target of retrosynthesis is to recursively decompose desired mo...

Chaochao Yan, et al. ∙

research

∙ 12/08/2021

Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition

Fine-grained Visual Classification (FGVC) aims to identify objects from ...

Zhenxin Wu, et al. ∙

research

∙ 12/02/2021

Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation

Personalized news recommendation has been widely adopted to improve user...

Yang Yu, et al. ∙

research

∙ 11/20/2021

Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods

Public policies that supply public goods, especially those involve colla...

Yang Hu, et al. ∙

research

∙ 09/29/2021

Labor-right Protecting Dispatch of Meal Delivery Platforms

The boom in the meal delivery industry brings growing concern about the ...

Wentao Weng, et al. ∙

research

∙ 09/26/2021

LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates

In cooperative multi-agent reinforcement learning (MARL), where agents o...

Jiahan Cao, et al. ∙

research

∙ 09/03/2021

UserBERT: Contrastive User Model Pre-training

User modeling is critical for personalized web applications. Existing us...

Chuhan Wu, et al. ∙

research

∙ 08/16/2021

Neural-to-Tree Policy Distillation with Policy Improvement Criterion

While deep reinforcement learning has achieved promising results in chal...

Zhao-Hua Li, et al. ∙

research

∙ 08/12/2021

PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management

The pre-trained model (PTM) is revolutionizing Artificial intelligence (...

Jiarui Fang, et al. ∙

research

∙ 07/16/2021

Imitate TheWorld: A Search Engine Simulation Platform

Recent E-commerce applications benefit from the growth of deep learning ...

Yongqing Gao, et al. ∙

research

∙ 06/19/2021

Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions

This paper is dedicated to designing provably efficient adversarial imit...

Tian Xu, et al. ∙

research

∙ 06/08/2021

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

User interest modeling is critical for personalized news recommendation....

Tao Qi, et al. ∙

research

∙ 05/18/2021

Sparsity Prior Regularized Q-learning for Sparse Action Tasks

In many decision-making tasks, some specific actions are limited in thei...

Jing-Cheng Pang, et al. ∙

research

∙ 05/15/2021

Regret Minimization Experience Replay

Experience replay is widely used in various deep off-policy reinforcemen...

Zhenghai Xue, et al. ∙

research

∙ 04/14/2021

An Introduction of mini-AlphaStar

StarCraft II (SC2) is a real-time strategy game, in which players produc...

Ruo-Ze Liu, et al. ∙

research

∙ 02/19/2021

Distributed Bootstrap for Simultaneous Inference Under High Dimensionality

We propose a distributed bootstrap method for simultaneous inference on ...

Yang Yu, et al. ∙

research

∙ 02/10/2021

Self-supervised learning for fast and scalable time series hyper-parameter tuning

Hyper-parameters of time series models play an important role in time se...

Peiyi Zhang, et al. ∙

research

∙ 02/10/2021

Derivative-Free Reinforcement Learning: A Review

Reinforcement learning is about learning agent models that make the best...

Hong Qian, et al. ∙

research

∙ 02/09/2021

NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application

Pre-trained language models (PLMs) like BERT have made great progress in...

Chuhan Wu, et al. ∙

research

∙ 02/01/2021

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning a good policy from ...

Rongjun Qin, et al. ∙

research

∙ 01/27/2021

ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection

Brain storm optimization (BSO) is a newly proposed population-based opti...

Yang Yu, et al. ∙

research

∙ 12/09/2020

Interactive Search Based on Deep Reinforcement Learning

With the continuous development of machine learning technology, major e-...

Yang Yu, et al. ∙

research

∙ 12/03/2020

Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning

Human judgments of word similarity have been a popular method of evaluat...

Wei Zhang, et al. ∙

research

∙ 11/27/2020

An authenticated and secure accounting system for international emissions trading

Expanding multi-country emissions trading system is considered as crucia...

Chenxing Li, et al. ∙

research

∙ 11/24/2020

OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs

Providing appropriate structures around human resources can streamline o...

Jing Yang, et al. ∙

research

∙ 11/22/2020

Angular Embedding: A New Angular Robust Principal Component Analysis

As a widely used method in machine learning, principal component analysi...

Shenglan Liu, et al. ∙

research

∙ 11/04/2020

RetroXpert: Decompose Retrosynthesis Prediction like a Chemist

Retrosynthesis is the process of recursively decomposing target molecule...

Chaochao Yan, et al. ∙

research

∙ 10/27/2020

Mining Generalized Features for Detecting AI-Manipulated Fake Faces

Recently, AI-manipulated face techniques have developed rapidly and cons...

Yang Yu, et al. ∙

research

∙ 10/22/2020

Error Bounds of Imitating Policies and Environments

Imitation learning trains a policy by mimicking expert demonstrations. V...

Tian Xu, et al. ∙

research

∙ 10/16/2020

Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN

What mechanisms causes GAN's entanglement? Although developing disentang...

Xiao Liu, et al. ∙

research

∙ 10/09/2020

TurboTransformers: An Efficient GPU Serving System For Transformer Models

The transformer is the most critical algorithm innovation of the Nature ...

Jiarui Fang, et al. ∙

research

∙ 08/04/2020

Reinforced Epidemic Control: Saving Both Lives and Economy

Saving lives or economy is a dilemma for epidemic control in most cities...

Sirui Song, et al. ∙

research

∙ 08/03/2020

QPLEX: Duplex Dueling Multi-Agent Q-Learning

We explore value-based multi-agent reinforcement learning (MARL) in the ...

Jianhao Wang, et al. ∙

research

∙ 06/29/2020

Local Neighbor Propagation Embedding

Manifold Learning occupies a vital role in the field of nonlinear dimens...

Shenglan Liu, et al. ∙

research

∙ 04/16/2020

Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak

Since December 2019, the coronavirus disease 2019 (COVID-19) has spread ...

Tianyu Liu, et al. ∙

research

∙ 03/25/2020

Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce

Learning-to-rank (LTR) has become a key technology in E-commerce applica...

Guangda Huzhang, et al. ∙

research

∙ 03/25/2020

Beyond the Ground-Truth: An Evaluator-Generator Framework for Group-wise Learning-to-Rank in E-Commerce

Learning-to-rank (LTR) has become a key technology in E-commerce applica...

Guangda Huzhang, et al. ∙

Yang Yu

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