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Cong Lu
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2020 – today
- 2024
- [j10]Xin Lu, Cong Lu, Shaban Usman:
Flexible Assembly Job Shop Scheduling Considering Assembly Sequence Variation Under Dual-Resource Constraints Using Discrete Barnacles Mating Optimizer Algorithm. IEEE Access 12: 157784-157806 (2024) - [j9]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: 106456 (2024) - [j8]Cong Lu
Go-Explore Complex 3-D Game Environments for Automated Reachability Testing. IEEE Trans. Games 16(1): 235-240 (2024) - [i16]Anya Sims, Cong Lu, Yee Whye Teh:
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning. CoRR abs/2402.12527 (2024) - [i15]Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob N. Foerster:
Policy-Guided Diffusion. CoRR abs/2404.06356 (2024) - [i14]Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge J. Ritter:
Video Diffusion Models: A Survey. CoRR abs/2405.03150 (2024) - [i13]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 abs/2405.05852 (2024) - [i12]Cong Lu, Shengran Hu, Jeff Clune:
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. CoRR abs/2405.15143 (2024) - [i11]Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson:
A Bayesian Solution To The Imitation Gap. CoRR abs/2407.00495 (2024) - [i10]Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, David Ha:
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. CoRR abs/2408.06292 (2024) - [i9]Shengran Hu, Cong Lu, Jeff Clune:
Automated Design of Agentic Systems. CoRR abs/2408.08435 (2024) - 2023
- [j7]Cong Lu, Jianbin Huang, Longji Huang:
Detecting Urban Anomalies Using Factor Analysis and One Class Support Vector Machine. Comput. J. 66(2): 373-383 (2023) - [j6]Zhangzhi Xue, Tiansheng Zhu, Fangfei Zhang, Cheng Zhang, Nan Xiang, Liujia Qian, Xiao Yi, Yaoting Sun
DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins. Patterns 4(7): 100792 (2023) - [j5]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) - [c10]Cong Lu, Yong Wang:
Data-driven delivery model for distributing daily necessities to residents in a specific emergency area. BigDataService 2023: 242-246 - [c9]Cong Lu
Speech image data mining algorithm based on multimodal decision fusion. CACML 2023: 19-24 - [c8]Cong Lu, Philip J. Ball, Yee Whye Teh, Jack Parker-Holder:
Synthetic Experience Replay. NeurIPS 2023 - [i8]Cong Lu, Philip J. Ball, Jack Parker-Holder:
Synthetic Experience Replay. CoRR abs/2303.06614 (2023) - 2022
- [j4]Wanting Qin, Jun Tang
A typhoon trajectory prediction model based on multimodal and multitask learning. Appl. Soft Comput. 122: 108804 (2022) - [c7]Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne:
Bayesian Generational Population-Based Training. AutoML 2022: 14/1-27 - [c6]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 - [i7]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 abs/2206.04779 (2022) - [i6]Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne:
Bayesian Generational Population-Based Training. CoRR abs/2207.09405 (2022) - [i5]Cong Lu, Raluca Georgescu, Johan Verwey:
Go-Explore Complex 3D Game Environments for Automated Reachability Testing. CoRR abs/2209.00570 (2022) - [i4]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 abs/2212.13936 (2022) - 2021
- [j3]Yifei Liang
Interference-Based Consensus and Transaction Validation Mechanisms for Blockchain-Based Spectrum Management. IEEE Access 9: 90757-90766 (2021) - [j2]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: 289:1-289:39 (2021) - [c5]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: 619-629 - [c4]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: 10663-10674 - [c3]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: 12991-13001 - [c2]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: 28376-28389 - [i3]Xingchen Wan
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. CoRR abs/2102.07188 (2021) - [i2]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 abs/2104.05632 (2021) - [i1]Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts:
Revisiting Design Choices in Model-Based Offline Reinforcement Learning. CoRR abs/2110.04135 (2021)
2010 – 2019
- 2012
- [j1]Cong Lu, James K. Mills:
A cell preparation system for realising automatic zebra fish cell injection. Int. J. Mechatronics Autom. 2(2): 93-102 (2012)
2000 – 2009
- 2009
- [c1]Jun Zha, Cong Lu, HongGuang Lv:
A Rare Feature Recognition Approach Based on Fuzzy ART Neural Networks. DASC 2009: 57-62
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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