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    Action Chunking Extends to Fully Online RL

    Kamil Dybek posted results on action chunking for Contrastive RL in online training.

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    KD
    2 Sources, 28d ago, first seen 28d ago

    TLDR

    Master's student Kamil Dybek at the University of Warsaw stated that action chunking in reinforcement learning has mainly been examined in offline or offline-to-online regimes. His post reports that the approach also improves performance in a fully online setting, using Contrastive RL as an example. A side-by-side video attachment shows simulation runs labeled Contrastive RL without Action Chunking next to the version that applies chunking. Assistant Professor Ben Eysenbach at Princeton University reposted the thread. The packet records only the statements made in these public posts and the attached clip description.

    Combined views

    3K

    2 Sources, first seen 28d ago

    Combined views

    3K

    2 Sources, first seen 28d ago

    35 likes
    35 likes
    1 comments
    21 saves
    7 reposts

    Sentiment

    Positive——Negative

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    1 comments
    21 saves
    7 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @dybek_kamilAction chunking in RL has primarily been studied in offline and offline-to-online settings. Our results show that its benefits extend beyond these regimes: Contrastive RL (CRL), for example, gains substantially from action chunking even in the fully online setting.
    @ben_eysenbachRT @dybek_kamil: Action chunking in RL has primarily been studied in offline and offline-to-online settings. Our results show that its bene…

    2 Sources

    @dybek_kamilAction chunking in RL has primarily been studied in offline and offline-to-online settings. Our results show that its benefits extend beyond these regimes: Contrastive RL (CRL), for example, gains substantially from action chunking even in the fully online setting.
    @ben_eysenbachRT @dybek_kamil: Action chunking in RL has primarily been studied in offline and offline-to-online settings. Our results show that its bene…