Cong Lu

54 papers A* 10A 1C 1Journal 38Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
SkillCraft: Can LLM Agents Learn to Use Tools Skillfully?
CoRR
Shiqi Chen, Jingze Gai, Ruochen Zhou, Jinghan Zhang, Tongyao Zhu, Junlong Li, Kangrui Wang, Zihan Wang, Zhengyu Chen, Klara Kaleb, Ning Miao, Siyang Gao, Cong Lu, Manling Li, Junxian He, Yee Whye Teh
2025 J jnl
A Novel Seal Packaging Structure Applied in Sub Miniature Push-On Connector Based on Ni47Ti44Nb9 Shape Memory Alloy Seal Ring.
IEEE Access
Yang Hai, Cong Lu
2025 J jnl
Automated Capability Discovery via Model Self-Exploration.
CoRR
Cong Lu, Shengran Hu, Jeff Clune
2025 A* conf
Automated Design of Agentic Systems.
ICLR
Shengran Hu, Cong Lu, Jeff Clune
2025 J jnl
Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.
CoRR
Jenny Zhang, Shengran Hu, Cong Lu, Robert T. Lange, Jeff Clune
2025 J jnl
Ergonomic conscious scheduling of maintenance activities in marine vehicles using an optimized non-dominated sorting genetic algorithm-II - An application of job-shop scheduling.
Eng. Appl. Artif. Intell.
Shaban Usman, Cong Lu
2025 J jnl
Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models.
CoRR
Aaron Dharna, Cong Lu, Jeff Clune
2025 A conf
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving.
IROS
Clémence Grislain, Risto Vuorio, Cong Lu, Shimon Whiteson
2025 A* conf
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models.
ICLR
Cong Lu, Shengran Hu, Jeff Clune
2025 J jnl
Mixed-production flexible assembly job shop scheduling considering parallel assembly sequence variations under dual-resource constraints using multi-objective hybrid memetic algorithm.
Comput. Oper. Res.
Xin Lu, Cong Lu
2025 J jnl
StochasTok: Improving Fine-Grained Subword Understanding in LLMs.
CoRR
Anya Sims, Thom Foster, Klara Kaleb, Tuan-Duy H. Nguyen, Joseph Lee, Jakob N. Foerster, Yee Whye Teh, Cong Lu
2025 J jnl
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.
CoRR
Yutaro Yamada, Robert Tjarko Lange, Cong Lu, Shengran Hu, Chris Lu, Jakob N. Foerster, Jeff Clune, David Ha
2024 J jnl
A Bayesian Solution To The Imitation Gap.
CoRR
Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson
2024 J jnl
Automated Design of Agentic Systems.
CoRR
Shengran Hu, Cong Lu, Jeff Clune
2024 J jnl
Flexible Assembly Job Shop Scheduling Considering Assembly Sequence Variation Under Dual-Resource Constraints Using Discrete Barnacles Mating Optimizer Algorithm.
IEEE Access
Xin Lu, Cong Lu, Shaban Usman
2024 J jnl
Go-Explore Complex 3-D Game Environments for Automated Reachability Testing.
IEEE Trans. Games
Cong Lu, Raluca Georgescu, Johan Verwey
2024 J jnl
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving.
CoRR
Clémence Grislain, Risto Vuorio, Cong Lu, Shimon Whiteson
2024 J jnl
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models.
CoRR
Cong Lu, Shengran Hu, Jeff Clune
2024 J jnl
Job-shop scheduling with limited flexible workers considering ergonomic factors using an improved multi-objective discrete Jaya algorithm.
Comput. Oper. Res.
Shaban Usman, Cong Lu
2024 J jnl
Policy-Guided Diffusion.
RLJ
Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob Nicolaus Foerster
2024 J jnl
Policy-Guided Diffusion.
CoRR
Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob N. Foerster
2024 A* conf
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control.
NeurIPS
Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
2024 J jnl
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control.
CoRR
Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
2024 — conf
Research on Green Design Optimization of Ethnic Minority Architecture in Guangxi Based on Machine Learning.
MLIC
Cong Lu, Nenglang Huang, Yang Wu
2024 J jnl
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.
CoRR
Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob N. Foerster, Jeff Clune, David Ha
2024 A* conf
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning.
NeurIPS
Anya Sims, Cong Lu, Jakob N. Foerster, Yee Whye Teh
2024 J jnl
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning.
CoRR
Anya Sims, Cong Lu, Yee Whye Teh
2024 J jnl
Video Diffusion Models: A Survey.
CoRR
Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge J. Ritter
2024 J jnl
Video Diffusion Models: A Survey.
Trans. Mach. Learn. Res.
Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge J. Ritter
2023 J jnl
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations.
Trans. Mach. Learn. Res.
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh
2023 J jnl
DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins.
Patterns
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
2023 — conf
Data-driven delivery model for distributing daily necessities to residents in a specific emergency area.
BigDataService
Cong Lu, Yong Wang
2023 J jnl
Detecting Urban Anomalies Using Factor Analysis and One Class Support Vector Machine.
Comput. J.
Cong Lu, Jianbin Huang, Longji Huang
2023 — conf
Speech image data mining algorithm based on multimodal decision fusion.
CACML
Cong Lu, Danxing Wang, Daquan Zhang, Aiqun Yu
2023 A* conf
Synthetic Experience Replay.
NeurIPS
Cong Lu, Philip J. Ball, Yee Whye Teh, Jack Parker-Holder
2023 J jnl
Synthetic Experience Replay.
CoRR
Cong Lu, Philip J. Ball, Jack Parker-Holder
2022 J jnl
A typhoon trajectory prediction model based on multimodal and multitask learning.
Appl. Soft Comput.
Wanting Qin, Jun Tang, Cong Lu, Songyang Lao
2022 — conf
Bayesian Generational Population-Based Training.
AutoML
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
2022 J jnl
Bayesian Generational Population-Based Training.
CoRR
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
2022 J jnl
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations.
CoRR
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh
2022 J jnl
Go-Explore Complex 3D Game Environments for Automated Reachability Testing.
CoRR
Cong Lu, Raluca Georgescu, Johan Verwey
2022 J jnl
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations.
CoRR
Tim G. J. Rudner, Cong Lu, Michael A. Osborne, Yarin Gal, Yee Whye Teh
2022 A* conf
Revisiting Design Choices in Offline Model Based Reinforcement Learning.
ICLR
Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts
2021 A* conf
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment.
ICML
Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts
2021 J jnl
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment.
CoRR
Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts
2021 A* conf
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.
ICML
Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
2021 J jnl
Interference-Based Consensus and Transaction Validation Mechanisms for Blockchain-Based Spectrum Management.
IEEE Access
Yifei Liang, Cong Lu, Youping Zhao, Chen Sun
2021 A* conf
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations.
NeurIPS
Tim G. J. Rudner, Cong Lu, Michael A. Osborne, Yarin Gal, Yee Whye Teh
2021 J jnl
Revisiting Design Choices in Model-Based Offline Reinforcement Learning.
CoRR
Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts
2021 A* conf
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
ICML
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
2021 J jnl
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
CoRR
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
2021 J jnl
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.
J. Mach. Learn. Res.
Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson
2012 J jnl
A cell preparation system for realising automatic zebra fish cell injection.
Int. J. Mechatronics Autom.
Cong Lu, James K. Mills
2009 C conf
A Rare Feature Recognition Approach Based on Fuzzy ART Neural Networks.
DASC
Jun Zha, Cong Lu, HongGuang Lv