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Meta Reinforcement Learning with Finite Training Tasks -- a Density
  Estimation Approach

Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach

21 June 2022
Zohar Rimon
Aviv Tamar
Gilad Adler
    OOD
    OffRL
ArXivPDFHTML

Papers citing "Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach"

6 / 6 papers shown
Title
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Jaehyeon Son
Soochan Lee
Gunhee Kim
OffRL
72
1
0
26 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Kaixi Bao
Chenhao Li
Yarden As
Andreas Krause
Marco Hutter
OffRL
CLL
100
1
0
03 Feb 2025
Test-Time Regret Minimization in Meta Reinforcement Learning
Test-Time Regret Minimization in Meta Reinforcement Learning
Mirco Mutti
Aviv Tamar
18
4
0
04 Jun 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy
  Evaluation
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
Jeongyeol Kwon
Shie Mannor
C. Caramanis
Yonathan Efroni
OffRL
29
2
0
03 Jun 2024
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
Zohar Rimon
Tom Jurgenson
Orr Krupnik
Gilad Adler
Aviv Tamar
29
8
0
14 Mar 2024
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
243
11,659
0
09 Mar 2017
1