Bei Peng

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 60

Top Topics

Reinforcement Learning

Adaptive Filtering

Top Venues

Signal Process.

Publications

Hui Jiao, Bei Peng, Lu Zong, Xiaojun Zhang, Xinwei Li
Gradable ChatGPT Translation Evaluation. Proces. del Leng. Natural 72 (2024)
Tianhui Zhang, Bei Peng, Danushka Bollegala
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning. CoRR (2024)
Hui Jiao, Bei Peng, Lu Zong, Xiaojun Zhang, Xinwei Li
Gradable ChatGPT Translation Evaluation. CoRR (2024)
Jiacheng He, Gang Wang, Kui Cao, He Diao, Guotai Wang, Bei Peng
Generalized minimum error entropy for robust learning. Pattern Recognit. 135 (2023)
Xinyue Yang, Yifan Mu, Kui Cao, Mengzhuo Lv, Bei Peng, Ying Zhang, Gang Wang
Robust kernel recursive adaptive filtering algorithms based on M-estimate. Signal Process. 207 (2023)
Eksan Firkat, Fan An, Bei Peng, Jinlai Zhang, Tayir Mijit, Arzigul Ahat, Jihong Zhu, Askar Hamdulla
FGSeg: Field-ground segmentation for agricultural robot based on LiDAR. Comput. Electron. Agric. 211 (2023)
Tianhui Zhang, Danushka Bollegala, Bei Peng
Learning to Predict Concept Ordering for Common Sense Generation. IJCNLP (2) (2023)
Jiacheng He, Gang Wang, Xi Zhang, Hongwei Wang, Bei Peng
Maximum total generalized correntropy adaptive filtering for parameter estimation. Signal Process. 203 (2023)
Zhenyu Feng, Gang Wang, Bei Peng, Jiacheng He, Kun Zhang
Distributed minimum error entropy Kalman filter. Inf. Fusion 91 (2023)
Tianhui Zhang, Danushka Bollegala, Bei Peng
Learning to Predict Concept Ordering for Common Sense Generation. CoRR (2023)
Zhenyu Feng, Gang Wang, Bei Peng, Jiacheng He, Kun Zhang
Novel robust minimum error entropy wasserstein distribution kalman filter under model uncertainty and non-gaussian noise. Signal Process. 203 (2023)
Flora Charbonnier, Bei Peng
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility. CoRR (2023)
Donghai Xiang, Wei Xu, Yuting Zhang, Bei Peng, Guotai Wang, Kang Li
MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency. J. Vis. Commun. Image Represent. 95 (2023)
Gang Wang, Xinyue Yang, Lei Wu, Zhenting Fu, Xiangjie Ma, Yuanhang He, Bei Peng
A kernel recursive minimum error entropy adaptive filter. Signal Process. 193 (2022)
Jiacheng He, Gang Wang, Bei Peng, Qi Sun, Zhenyu Feng, Kun Zhang
Mixture quantized error entropy for recursive least squares adaptive filtering. J. Frankl. Inst. 359 (3) (2022)
Xiaowei Huang, Bei Peng, Xingyu Zhao
Dependable learning-enabled multiagent systems. AI Commun. 35 (4) (2022)
Kai Liu, Yuyang Zhao, Gang Wang, Bei Peng
Self-attention-based multi-agent continuous control method in cooperative environments. Inf. Sci. 585 (2022)
Gabriella Pizzuto, Hetong Wang, Hatem Fakhruldeen, Bei Peng, Kevin S. Luck, Andrew I. Cooper
Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping. CoRR (2022)
Gang Wang, Jingci Qiao, Rui Xue, Bei Peng
Quaternion kernel recursive least-squares algorithm. Signal Process. 178 (2021)
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR (2021)
Kai Liu, Yuyang Zhao, Gang Wang, Bei Peng
SA-MATD3: Self-attention-based multi-agent continuous control method in cooperative environments. CoRR (2021)
Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Boehmer, Shimon Whiteson, Fei Sha
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. ICML (2021)
Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS (2021)
Bei Peng, Tabish Rashid, Christian Schröder de Witt, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
FACMAC: Factored Multi-Agent Centralised Policy Gradients. NeurIPS (2021)
Gang Wang, Badong Chen, Xinyue Yang, Bei Peng, Zhenyu Feng
Numerically stable minimum error entropy Kalman filter. Signal Process. 181 (2021)
Bozhidar Vasilev, Tarun Gupta, Bei Peng, Shimon Whiteson
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients. CoRR (2021)
Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR (2021)
Gang Wang, Bei Peng, Zhenyu Feng, Xinyue Yang, Jing Deng, Nianci Wang
Adaptive filtering based on recursive minimum error entropy criterion. Signal Process. 179 (2021)
Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Boehmer, Shimon Whiteson
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. ICML (2021)
Haixiang Zhan, Wu Zhou, Longqi Ran, Huijun Yu, Bei Peng, Rui Hao
A High-Resolution Optical Displacement Detection Method for Piezoelectric Microvibratory Stage. IEEE Trans. Ind. Electron. 67 (12) (2020)
Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha
AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. CoRR (2020)
Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. CoRR (2020)
Christian Schröder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Böhmer, Shimon Whiteson
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control. CoRR (2020)
Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. NeurIPS (2020)
Tabish Rashid, Bei Peng, Wendelin Böhmer, Shimon Whiteson
Optimistic Exploration even with a Pessimistic Initialisation. CoRR (2020)
Yanli Gong, Hai Jiang, Yunfei Bai, Zijian Wu, Bei Peng, Xuan Weng
Numerical Studies of Electrokinetically Controlled Concentration of Diluted DNA Molecules in a T-Shaped Microchannel. IEEE Access 8 (2020)
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR (2020)
Patrick Mannion, Patrick MacAlpine, Bei Peng, Roxana Radulescu
Special issue on adaptive and learning agents 2019. Knowl. Eng. Rev. 35 (2020)
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. CoRR (2020)
Tabish Rashid, Bei Peng, Wendelin Boehmer, Shimon Whiteson
Optimistic Exploration even with a Pessimistic Initialisation. ICLR (2020)
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. J. Mach. Learn. Res. 21 (2020)
Rui Hao, Huijun Yu, Bei Peng, Haixiang Zhan, Wu Zhou
Impacts of Residual Stress on Micro Vibratory Platform Used for Inertial Sensor Calibration. Sensors 20 (14) (2020)
Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson
Weighted QMIX: Expanding Monotonic Value Function Factorisation. CoRR (2020)
Bei Peng, Lizhi Liu
Query Optimization for Air Quality Big Data based on Hive-ORC. CRC (2020)
Yanghai Nan, Bei Peng, Yi Chen, Don McGlinchey
From Studying Real Hummingbirds to Designing Hummingbird-Like Robots - A Literature Review. IEEE Access 7 (2019)
Robert T. Loftin, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts
Interactive Learning of Environment Dynamics for Sequential Tasks. CoRR (2019)
Leo Feng, Luisa M. Zintgraf, Bei Peng, Shimon Whiteson
VIABLE: Fast Adaptation via Backpropagating Learned Loss. CoRR (2019)
Wenjie Yu, Zhi Zeng, Bei Peng, Shuo Yan, Yueshuang Huang, Hai Jiang, Xunbo Li, Tao Fan
Multi-Objective Optimum Design of High-Speed Backplane Connector Using Particle Swarm Optimization. IEEE Access 6 (2018)
Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
Curriculum Design for Machine Learners in Sequential Decision Tasks. IEEE Trans. Emerg. Top. Comput. Intell. 2 (4) (2018)
Wu Zhou, Hongfang Lan, Huijun Yu, Liushan Lai, Bei Peng, Xiaoping He
Consideration of the fringe effects of capacitors in micro accelerometer design. Trans. Inst. Meas. Control 40 (9) (2018)
Xinggan Peng, Long Wen, Diqiu Bai, Bei Peng
Reformative Vehicle License Plate Recognition Algorithm Based on Deep Learning. ICCSIP (2) (2018)
James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman
Interactive Learning from Policy-Dependent Human Feedback. ICML (2017)
Bei Peng, James MacGlashan, Robert T. Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
Curriculum Design for Machine Learners in Sequential Decision Tasks. AAMAS (2017)
James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, David L. Roberts, Matthew E. Taylor, Michael L. Littman
Interactive Learning from Policy-Dependent Human Feedback. CoRR (2017)
Bei Peng
How Do Humans Teach: On Curriculum Design for Machine Learners. AAMAS (2017)
Yi Chen, Bei Peng
Multi-objective optimization on multi-layer configuration of cathode electrode for polymer electrolyte fuel cells via computational-intelligence-aided design and engineering framework. Appl. Soft Comput. 43 (2016)
Robert T. Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. Auton. Agents Multi Agent Syst. 30 (1) (2016)
Wu Zhou, Jiangbo He, Xiao-Ping He, Huijun Yu, Bei Peng
Dielectric charging induced drift in micro device reliability-a review. Microelectron. Reliab. 66 (2016)
Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans. AAMAS (2016)
Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts
Towards Behavior-Aware Model Learning from Human-Generated Trajectories. AAAI Fall Symposia (2016)
Mitchell Scott, Bei Peng, Madeline Chili, Tanay Nigam, Francis G. Pascual, Cynthia Matuszek, Matthew E. Taylor
On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot. AAAI Fall Symposia (2015)
Guanzhong Huang, Bei Peng, Anding Zhu
Simplified Volterra series based background calibration for high speed high resolution pipelined ADCs. MWSCAS (2015)
Gabriel Victor de la Cruz, Bei Peng, Walter S. Lasecki, Matthew E. Taylor
Towards Integrating Real-Time Crowd Advice with Reinforcement Learning. IUI Companion (2015)
Gabriel Victor de la Cruz, Bei Peng, Walter Stephen Lasecki, Matthew Edmund Taylor
Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents. AAAI Workshop: Learning for General Competency in Video Games (2015)
Robert Tyler Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts
Learning something from nothing: Leveraging implicit human feedback strategies. RO-MAN (2014)
Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts
A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. AAAI (2014)
Xuekang Li, Xiaohong Hao, Yi Chen, Muhao Zhang, Bei Peng
Multi-Objective Optimizations of Structural Parameter Determination for Serpentine Channel Heat Sink. EvoApplications (2013)
Wu Zhou, Baili Li, Bei Peng, Wei Su, Xiao-Ping He
Prediction of Gap Asymmetry in Differential Micro Accelerometers. Sensors 12 (6) (2012)
Xiwu Gu, Ruixuan Li, Kunmei Wen, Bei Peng, Weijun Xiao
A GPU-Based Accelerator for Chinese Word Segmentation. APWeb (2012)
Bei Peng, Guanzhong Huang, Hao Li, Peiyuan Wan, Pingfen Lin
A 48-mW, 12-bit, 150-MS/s pipelined ADC with digital calibration in 65nm CMOS. CICC (2011)
Bei Peng, Hao Li, Pingfen Lin, Yun Chiu
An Offset Double Conversion Technique for Digital Calibration of Pipelined ADCs. IEEE Trans. Circuits Syst. II Express Briefs (12) (2010)
Bei Peng, Hao Li, Seung-Chul Lee, Pingfen Lin, Yun Chiu
A Virtual-ADC Digital Background Calibration Technique for Multistage A/D Conversion. IEEE Trans. Circuits Syst. II Express Briefs (11) (2010)
Jianxin Wang, Bei Peng, Weijia Jia
Design and Implementation of Virtual Computer Network Lab Based on NS2 In the Internet. ICWL (2004)