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News/From Trajectories to Instructions: Language-Conditioned Meta-Reinforcement Learning
arxiv
PublishedJuly 22, 2026 at 4:00 AM
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From Trajectories to Instructions: Language-Conditioned Meta-Reinforcement Learning

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Publisher summary· verbatim

arXiv:2607.18830v1 Announce Type: cross Abstract: Model-Agnostic Meta-Learning (MAML) is a widely used framework for reinforcement learning (RL) that enables efficient transfer by learning global policy parameters that can be rapidly adapted to new tasks. MAML training proceeds in two loops: an inne

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Discussion
Mentioned models
02
  • 01
    MAML
  • 02
    LA-MAML
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arxiv
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Tags
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#reinforcement-learning#meta-learning#language-instructions

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Mentioned models
02
  • 01
    MAML
  • 02
    LA-MAML
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#reinforcement-learning#meta-learning#language-instructions

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