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Cong Lu
Cong Lu
Google DeepMind
Verifisert e-postadresse på google.com - Startside
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The AI Scientist: Towards fully automated open-ended scientific discovery
C Lu, C Lu, RT Lange, J Foerster, J Clune, D Ha
arXiv preprint arXiv:2408.06292, 2024
147*2024
Revisiting Design Choices in Offline Model Based Reinforcement Learning
C Lu*, PJ Ball*, J Parker-Holder, M Osborne, S Roberts
ICLR 2022 (Spotlight), 2022
75*2022
Synthetic Experience Replay
C Lu, PJ Ball, YW Teh, J Parker-Holder
NeurIPS 2023, 2023
732023
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
X Wan, V Nguyen, H Ha, B Ru, C Lu, MA Osborne
International Conference on Machine Learning (ICML) 38, 10663-10674, 2021
702021
Varibad: Variational bayes-adaptive deep rl via meta-learning
L Zintgraf, S Schulze, C Lu, L Feng, M Igl, K Shiarlis, Y Gal, K Hofmann, ...
Journal of Machine Learning Research 22 (289), 1-39, 2021
632021
Exploration in approximate hyper-state space for meta reinforcement learning
LM Zintgraf, L Feng, C Lu, M Igl, K Hartikainen, K Hofmann, S Whiteson
International Conference on Machine Learning, 12991-13001, 2020
592020
Challenges and opportunities in offline reinforcement learning from visual observations
C Lu*, PJ Ball*, TGJ Rudner, J Parker-Holder, MA Osborne, YW Teh
Transactions on Machine Learning Research, 2022
522022
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
PJ Ball*, C Lu*, J Parker-Holder, S Roberts
International Conference on Machine Learning (ICML) 38, 2021
482021
Automated design of agentic systems
S Hu, C Lu, J Clune
ICLR 2025, 2024
412024
On pathologies in KL-regularized reinforcement learning from expert demonstrations
TGJ Rudner*, C Lu*, M Osborne, Y Gal, Y Teh
Advances in Neural Information Processing Systems 34, 2021
272021
Bayesian Generational Population-Based Training
X Wan, C Lu, J Parker-Holder, PJ Ball, V Nguyen, B Ru, MA Osborne
AutoML 2022, 2022
222022
Policy-Guided Diffusion
MT Jackson, MT Matthews, C Lu, B Ellis, S Whiteson, J Foerster
Reinforcement Learning Conference 2024 (Oral), 2024
152024
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
C Lu, S Hu, J Clune
ICLR 2025, 2024
92024
Video Diffusion Models: A Survey
A Melnik, M Ljubljanac, C Lu, Q Yan, W Ren, H Ritter
Transactions on Machine Learning Research, 2024
8*2024
Go-explore complex 3-d game environments for automated reachability testing
C Lu, R Georgescu, J Verwey
IEEE Transactions on Games 16 (1), 235-240, 2022
82022
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
G Gupta, K Yadav, Y Gal, D Batra, Z Kira, C Lu, TGJ Rudner
NeurIPS 2024 (Spotlight), 2024
42024
Automated Capability Discovery via Model Self-Exploration
C Lu, S Hu, J Clune
arXiv preprint arXiv:2502.07577, 2025
1*2025
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
A Sims, C Lu, YW Teh
NeurIPS 2024, 2024
12024
Gaia Agent: Context-Aware Functional Insights at Scale
C Lu, J Kravitz, N Jha, A Cornman, Y Hwang
2024
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
C Grislain, R Vuorio, C Lu, S Whiteson
arXiv preprint arXiv:2411.04653, 2024
2024
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Artikler 1–20