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A model-based approach to meta-Reinforcement Learning: Transformers and
  tree search

A model-based approach to meta-Reinforcement Learning: Transformers and tree search

24 August 2022
Brieuc Pinon
Jean-Charles Delvenne
Raphaël Jungers
    OffRL
ArXivPDFHTML

Papers citing "A model-based approach to meta-Reinforcement Learning: Transformers and tree search"

4 / 4 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
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
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement
  Learning Adaptation
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation
Maxwell J. Jacobson
Yexiang Xue
23
0
0
07 Nov 2023
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