ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.05325
  4. Cited By
Meta-learning curiosity algorithms

Meta-learning curiosity algorithms

11 March 2020
Ferran Alet
Martin Schneider
Tomas Lozano-Perez
L. Kaelbling
ArXivPDFHTML

Papers citing "Meta-learning curiosity algorithms"

16 / 16 papers shown
Title
Discovering Preference Optimization Algorithms with and for Large
  Language Models
Discovering Preference Optimization Algorithms with and for Large Language Models
Chris Xiaoxuan Lu
Samuel Holt
Claudio Fanconi
Alex J. Chan
Jakob Foerster
M. Schaar
R. T. Lange
OffRL
37
15
0
12 Jun 2024
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
55
55
0
10 Oct 2023
Unified Functional Hashing in Automatic Machine Learning
Unified Functional Hashing in Automatic Machine Learning
Ryan Gillard
S. Jonany
Yingjie Miao
Michael Munn
Connal de Souza
Jonathan Dungay
Chen Liang
David R. So
Quoc V. Le
Esteban Real
26
2
0
10 Feb 2023
A Simple Guard for Learned Optimizers
A Simple Guard for Learned Optimizers
Isabeau Prémont-Schwarz
Jaroslav Vítkru
Jan Feyereisl
49
7
0
28 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Bootstrapped Meta-Learning
Bootstrapped Meta-Learning
Sebastian Flennerhag
Yannick Schroecker
Tom Zahavy
Hado van Hasselt
David Silver
Satinder Singh
38
58
0
09 Sep 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Evolving Reinforcement Learning Algorithms
Evolving Reinforcement Learning Algorithms
John D. Co-Reyes
Yingjie Miao
Daiyi Peng
Esteban Real
Sergey Levine
Quoc V. Le
Honglak Lee
Aleksandra Faust
46
73
0
08 Jan 2021
Meta Learning Backpropagation And Improving It
Meta Learning Backpropagation And Improving It
Louis Kirsch
Jürgen Schmidhuber
51
56
0
29 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs
Policy Gradient RL Algorithms as Directed Acyclic Graphs
J. Luis
26
0
0
14 Dec 2020
Should artificial agents ask for help in human-robot collaborative
  problem-solving?
Should artificial agents ask for help in human-robot collaborative problem-solving?
Adrien Bennetot
V. Charisi
Natalia Díaz Rodríguez
21
8
0
25 May 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense
  Disambiguation
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
18
28
0
29 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
46
1,928
0
11 Apr 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real
Chen Liang
David R. So
Quoc V. Le
39
220
0
06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
1