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News/Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization
arxiv
PublishedMay 19, 2026 at 4:00 AM
—neutral

Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2511.07288v2 Announce Type: replace-cross Abstract: Learning complex policies with Reinforcement Learning (RL) is often hindered by instability and slow convergence, a problem exacerbated by the difficulty of reward engineering. Imitation Learning (IL) from expert demonstrations bypasses this

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Discussion
Mentioned models
02
  • 01
    GAIL
  • 02
    TRPO
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#reinforcement-learning#imitation-learning#machine-learning#sample-efficiency

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Mentioned models
02
  • 01
    GAIL
  • 02
    TRPO
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#reinforcement-learning#imitation-learning#machine-learning#sample-efficiency
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Originally published on arxiv ↗
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