Cong Lu
Cited by
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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
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
Revisiting Design Choices in Offline Model Based Reinforcement Learning
C Lu*, PJ Ball*, J Parker-Holder, M Osborne, S Roberts
ICLR 2022 (Spotlight), 2022
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
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, ...
The Journal of Machine Learning Research 22 (1), 13198-13236, 2021
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
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
Bayesian Generational Population-Based Training
X Wan, C Lu, J Parker-Holder, PJ Ball, V Nguyen, B Ru, MA Osborne
AutoML 2022, 2022
Synthetic Experience Replay
C Lu, PJ Ball, YW Teh, J Parker-Holder
NeurIPS 2023, 2023
Go-Explore Complex 3D Game Environments for Automated Reachability Testing
C Lu, R Georgescu, J Verwey
IEEE Transactions on Games, 2022
Policy-Guided Diffusion
M Jackson, M Matthews, C Lu, J Foerster, S Whiteson
6th Robot Learning Workshop @ NeurIPS 2023, 2023
RAVL: Reach-Aware Value Learning for the Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
A Sims, C Lu, YW Teh
Second Agent Learning in Open-Endedness Workshop @ NeurIPS 2023, 2023
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