Yihao Feng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Reinforcement Learning

Infinite Horizon

Top Venues

Publications

Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR (2024)
Jieyi Zhang, Cenying Yang, Yihao Feng
Demand Prediction by Incorporating Internet-of-Things Data: A Case of Automobile Repair and Maintenance Service. HICSS (2024)
Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
Text2Data: Low-Resource Data Generation with Textual Control. CoRR (2024)
Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR (2024)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. ACL (1) (2024)
Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
Longhorn: State Space Models are Amortized Online Learners. CoRR (2024)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. CoRR (2024)
Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR (2024)
Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR (2024)
Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR (2023)
Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR (2023)
Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR (2023)
Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. NeurIPS (2023)
Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
REX: Rapid Exploration and eXploitation for AI Agents. CoRR (2023)
Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR (2023)
Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
FAMO: Fast Adaptive Multitask Optimization. CoRR (2023)
Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. AAAI (2023)
Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. CoRR (2023)
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR (2023)
Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS (2023)
Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
FAMO: Fast Adaptive Multitask Optimization. NeurIPS (2023)
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS (2023)
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR (2023)
Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR (2023)
Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou
A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR (2022)
Ziyang Tang, Yihao Feng, Qiang Liu
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning. CoRR (2022)
Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. CoRR (2022)
Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning. CoRR (2022)
Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
A Unified Framework for Alternating Offline Model Training and Policy Learning. NeurIPS (2022)
Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. ICML (2022)
Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
A Unified Framework for Alternating Offline Model Training and Policy Learning. CoRR (2022)
Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. NAACL-HLT (2021)
Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong
Unsupervised Out-of-Domain Detection via Pre-trained Transformers. ACL/IJCNLP (1) (2021)
Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. CoRR (2021)
Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. ICLR (2021)
Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong
Unsupervised Out-of-Domain Detection via Pre-trained Transformers. CoRR (2021)
Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. CoRR (2021)
Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
Off-Policy Interval Estimation with Lipschitz Value Iteration. NeurIPS (2020)
Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu
Accountable Off-Policy Evaluation With Kernel Bellman Statistics. ICML (2020)
Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu
Accountable Off-Policy Evaluation With Kernel Bellman Statistics. CoRR (2020)
Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
Off-Policy Interval Estimation with Lipschitz Value Iteration. CoRR (2020)
Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. ICLR (2020)
Yihao Feng, Lihong Li, Qiang Liu
A Kernel Loss for Solving the Bellman Equation. CoRR (2019)
Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. CoRR (2019)
Yihao Feng, Lihong Li, Qiang Liu
A Kernel Loss for Solving the Bellman Equation. NeurIPS (2019)
Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
Action-dependent Control Variates for Policy Optimization via Stein Identity. ICLR (Poster) (2018)
Guangming Shi, Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Yihao Feng, Xinrui Ma, Danhua Liu
Knowledge-guided Semantic Computing Network. CoRR (2018)
Chao Wang, Yihao Feng, Qi Guo, Zhaoxian Li, Kexin Liu, Zijian Tang, Anthony K. H. Tung, Lifu Wu, Yuxin Zheng
ARShop: A Cloud-based Augmented Reality System for Shopping. Proc. VLDB Endow. 10 (12) (2017)
Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
Sample-efficient Policy Optimization with Stein Control Variate. CoRR (2017)
Yihao Feng, Dilin Wang, Qiang Liu
Learning to Draw Samples with Amortized Stein Variational Gradient Descent. UAI (2017)