publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. SmartPlay.png
    SmartPlay : A Benchmark for LLMs as Intelligent Agents
    Yue Wu, Xuan Tang, Tom M. Mitchell, and 1 more author
    In ICLR, 2024
  2. AgentKit.png
    AgentKit: Flow Engineering with Graphs, not Coding
    Yue Wu, Yewen Fan, So Yeon Min, and 6 more authors
    In COLM, 2024

2023

  1. Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
    Yue Wu, Yewen Fan, Paul Pu Liang, and 3 more authors
    In NeurIPS, 2023
    RRL Workshop, ICLR 2023 (oral)
  2. Graph Generative Model for Benchmarking Graph Neural Networks
    Minji Yoon, Yue Wu, John Palowitch, and 2 more authors
    In ICML, 2023
  3. Plan, Eliminate, and Track–Language Models are Good Teachers for Embodied Agents
    Yue Wu, So Yeon Min, Yonatan Bisk, and 5 more authors
    Preprint, 2023
  4. SPRING1.gif
    SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning
    Yue Wu, So Yeon Min, Shrimai Prabhumoye, and 5 more authors
    In NeurIPS, 2023
  5. HELPER: Instructable and Personalizable Embodied Agents with Memory-Augmented Context-Dependent LLM Prompting
    In EMNLP Findings, 2023

2022

  1. PET.png
    Tackling AlfWorld with Action Attention and Common Sense from Language Models
    Yue Wu, So Yeon Min, Yonatan Bisk, and 2 more authors
    In Workshop on Language and Reinforcement Learning, NeurIPS, 2022

2021

  1. Self-supervised Learning from a Multi-view Perspective
    Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov, and 1 more author
    In ICLR, 2021
  2. UWAC.gif
    Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
    Yue Wu, Shuangfei Zhai, Nitish Srivastava, and 4 more authors
    In ICML, 2021

2020

  1. Improving gan training with probability ratio clipping and sample reweighting
    Yue Wu, Pan Zhou, Andrew G Wilson, and 2 more authors
    In NeurIPS, 2020
  2. PBIT.gif
    Unsupervised domain adaptation for visual navigation
    Shangda Li, Devendra Singh Chaplot, Yao-Hung Hubert Tsai, and 3 more authors
    Deep Reinforcement Learning Workshop, NeurIPS, 2020

2019

  1. Distributed reinforcement learning for multi-robot decentralized collective construction
    Guillaume Sartoretti, Yue Wu, William Paivine, and 3 more authors
    In DARS, 2019
  2. Distributed learning of decentralized control policies for articulated mobile robots
    Guillaume Sartoretti, William Paivine, Yunfei Shi, and 2 more authors
    IEEE Transactions on Robotics, 2019

2017

  1. License plate recognition using deep FCN
    Yue Wu, and Jianmin Li
    In ICCSIP, 2017