Feb 22, 2021 · In this work, we provably improve upon one of the SOTA OMRL algorithms, FOCAL, by incorporating intra-task attention mechanism and inter-task contrastive ...
Jan 28, 2022 · In this work, we provably improve upon one of the SOTA OMRL algorithms, FOCAL, by incorporating intra-task attention mechanism and inter-task ...
This work provably improves upon one of the SOTA OMRL algorithms, FOCAL, by incorporating intra-task attention mechanism and inter-task contrastive learning ...
In this work, we improve upon one of the SOTA OMRL algorithms, FOCAL, by incorporating intra-task attention mechanism and inter-task contrastive learning ...
In this work, we provably improve upon one of the SOTA OMRL algorithms, FOCAL, by incorporating intra-task attention mechanism and inter-task contrastive ...
Feb 22, 2021 · In this work, we improve upon one of the SOTA OMRL algorithms, FOCAL, by incorporating intra-task attention mechanism and inter-task contrastive ...
Feb 22, 2021 · In this work, we improve upon one of the SOTA OMRL algorithms, FOCAL, by incorporating intra-task attention mechanism and inter-task contrastive learning ...
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In this work, we provably improve upon one of the SOTA OMRL algorithms, FOCAL, by incorporating intra-task attention mechanism and inter-task contrastive ...
Provably Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning · no code implementations • 22 Feb 2021 • Lanqing Li, Yuanhao Huang ...
3 days ago · Offline meta-reinforcement learning (OMRL) aims to train agents to quickly adapt to new tasks using only pre-collected data.