Meta-Learning surrogate models for sequential decision making

Meta-Learning surrogate models for sequential decision making

28 March 2019

Alexandre Galashov

Jonathan Richard Schwarz

S. M. Ali Eslami

Papers citing "Meta-Learning surrogate models for sequential decision making"

11 / 11 papers shown

Title
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials Mael Jullien Marco Valentino André Freitas LM&MA 36 41 0 07 Apr 2024
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR Jaeuk Shin Giho Kim Howon Lee Joonho Han Insoon Yang OffRL 31 1 0 09 Dec 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 34 121 0 19 Jan 2023
Differentiable User Models Alex Hamalainen Mustafa Mert cCelikok Samuel Kaski 23 1 0 29 Nov 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 19 99 0 09 Jul 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 21 20 0 11 Apr 2022
Probabilistic Active Meta-Learning Jean Kaddour Steindór Sæmundsson M. Deisenroth 8 34 0 17 Jul 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 23 34 0 19 Jun 2020
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015