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Leo Feng
Leo Feng
University of Montreal, Mila
Zweryfikowany adres z mila.quebec - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
L Zintgraf, L Feng, C Lu, M Igl, K Hartikainen, K Hofmann, S Whiteson
International Conference on Machine Learning (ICML) 2021, 2020
122020
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
42021
Continuous-Time Meta-Learning with Forward Mode Differentiation
T Deleu, D Kanaa, L Feng, G Kerg, Y Bengio, G Lajoie, PL Bacon
International Conference on Learning Representations (ICLR) 2022 (Spotlight), 2022
22022
VIABLE: Fast Adaptation via Backpropagating Learned Loss
L Feng, L Zintgraf, B Peng, S Whiteson
Advances in Neural Information Processing Systems, 3rd Workshop on Meta-Learning, 2019
12019
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization
L Feng, P Nouri, A Muni, Y Bengio, PL Bacon
arXiv:2209.06259, 2022
2022
Stop Overcomplicating Selective Classification: Use Max-Logit
L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi
arXiv preprint arXiv:2206.09034, 2022
2022
Exploration in Approximate Hyper-state Space
L Zintgraf, L Feng, M Igl, K Hartikainen, K Hofmann, S Whiteson
International Conference on Learning Representations, Workshop on Beyond …, 2020
2020
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