Cong Lu

Orcid: 0009-0009-9966-8847

According to our database1, Cong Lu authored at least 23 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Go-Explore Complex 3-D Game Environments for Automated Reachability Testing.
IEEE Trans. Games, March, 2024

Job-shop scheduling with limited flexible workers considering ergonomic factors using an improved multi-objective discrete Jaya algorithm.
Comput. Oper. Res., February, 2024

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning.
CoRR, 2024

2023
DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins.
Patterns, July, 2023

Detecting Urban Anomalies Using Factor Analysis and One Class Support Vector Machine.
Comput. J., February, 2023

Synthetic Experience Replay.
CoRR, 2023

Synthetic Experience Replay.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Speech image data mining algorithm based on multimodal decision fusion.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

Data-driven delivery model for distributing daily necessities to residents in a specific emergency area.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022
Go-Explore Complex 3D Game Environments for Automated Reachability Testing.
CoRR, 2022

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations.
CoRR, 2022

A typhoon trajectory prediction model based on multimodal and multitask learning.
Appl. Soft Comput., 2022

Revisiting Design Choices in Offline Model Based Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Bayesian Generational Population-Based Training.
Proceedings of the International Conference on Automated Machine Learning, 2022

2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.
J. Mach. Learn. Res., 2021

Revisiting Design Choices in Model-Based Offline Reinforcement Learning.
CoRR, 2021

Interference-Based Consensus and Transaction Validation Mechanisms for Blockchain-Based Spectrum Management.
IEEE Access, 2021

On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
Proceedings of the 38th International Conference on Machine Learning, 2021

Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment.
Proceedings of the 38th International Conference on Machine Learning, 2021

2012
A cell preparation system for realising automatic zebra fish cell injection.
Int. J. Mechatronics Autom., 2012

2009
A Rare Feature Recognition Approach Based on Fuzzy ART Neural Networks.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009


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