Cong Lu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 31

Top Topics

Decision Fusion

Diffusion Models

Reinforcement Learning

Top Venues

Comput. Oper. Res.

Publications

Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge J. Ritter
Video Diffusion Models: A Survey. CoRR (2024)
Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson
A Bayesian Solution To The Imitation Gap. CoRR (2024)
Shaban Usman, Cong Lu
Job-shop scheduling with limited flexible workers considering ergonomic factors using an improved multi-objective discrete Jaya algorithm. Comput. Oper. Res. 162 (2024)
Cong Lu, Shengran Hu, Jeff Clune
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. CoRR (2024)
Anya Sims, Cong Lu, Yee Whye Teh
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning. CoRR (2024)
Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob N. Foerster
Policy-Guided Diffusion. CoRR (2024)
Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. CoRR (2024)
Cong Lu, Raluca Georgescu, Johan Verwey
Go-Explore Complex 3-D Game Environments for Automated Reachability Testing. IEEE Trans. Games 16 (1) (2024)
Zhangzhi Xue, Tiansheng Zhu, Fangfei Zhang, Cheng Zhang, Nan Xiang, Liujia Qian, Xiao Yi, Yaoting Sun, Wei Liu, Xue Cai, Linyan Wang, Xizhe Dai, Liang Yue, Lu Li, Thang Viet Pham, Sander R. Piersma, Qi Xiao, Meng Luo, Cong Lu, Jiang Zhu, Yongfu Zhao, Guangzhi Wang, Junhong Xiao, Tong Liu, Zhiyu Liu, Yi He, Qijun Wu, Tingting Gong, Jianqin Zhu, Zhiguo Zheng, Juan Ye, Yan Li, Connie R. Jimenez, Jun A, Tiannan Guo
DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins. Patterns 4 (7) (2023)
Cong Lu, Danxing Wang, Daquan Zhang, Aiqun Yu
Speech image data mining algorithm based on multimodal decision fusion. CACML (2023)
Cong Lu, Philip J. Ball, Yee Whye Teh, Jack Parker-Holder
Synthetic Experience Replay. NeurIPS (2023)
Cong Lu, Philip J. Ball, Jack Parker-Holder
Synthetic Experience Replay. CoRR (2023)
Cong Lu, Yong Wang
Data-driven delivery model for distributing daily necessities to residents in a specific emergency area. BigDataService (2023)
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations. Trans. Mach. Learn. Res. 2023 (2023)
Cong Lu, Jianbin Huang, Longji Huang
Detecting Urban Anomalies Using Factor Analysis and One Class Support Vector Machine. Comput. J. 66 (2) (2023)
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
Bayesian Generational Population-Based Training. AutoML (2022)
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
Bayesian Generational Population-Based Training. CoRR (2022)
Wanting Qin, Jun Tang, Cong Lu, Songyang Lao
A typhoon trajectory prediction model based on multimodal and multitask learning. Appl. Soft Comput. 122 (2022)
Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts
Revisiting Design Choices in Offline Model Based Reinforcement Learning. ICLR (2022)
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations. CoRR (2022)
Cong Lu, Raluca Georgescu, Johan Verwey
Go-Explore Complex 3D Game Environments for Automated Reachability Testing. CoRR (2022)
Tim G. J. Rudner, Cong Lu, Michael A. Osborne, Yarin Gal, Yee Whye Teh
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations. CoRR (2022)
Tim G. J. Rudner, Cong Lu, Michael A. Osborne, Yarin Gal, Yee Whye Teh
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations. NeurIPS (2021)
Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. ICML (2021)
Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. ICML (2021)
Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts
Revisiting Design Choices in Model-Based Offline Reinforcement Learning. CoRR (2021)
Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning. J. Mach. Learn. Res. 22 (2021)
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. ICML (2021)
Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. CoRR (2021)
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. CoRR (2021)
Yifei Liang, Cong Lu, Youping Zhao, Chen Sun
Interference-Based Consensus and Transaction Validation Mechanisms for Blockchain-Based Spectrum Management. IEEE Access 9 (2021)
Cong Lu, James K. Mills
A cell preparation system for realising automatic zebra fish cell injection. Int. J. Mechatronics Autom. 2 (2) (2012)
Jun Zha, Cong Lu, HongGuang Lv
A Rare Feature Recognition Approach Based on Fuzzy ART Neural Networks. DASC (2009)