Pessimistic Auxiliary Policy for Offline Reinforcement Learning | ScienceToStartup | ScienceToStartup

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References (42)

[1]

Channel-adaptive generative reconstruction and fusion for multi-sensor graph features in few-shot fault diagnosis

2026Peijie You, Lei Wang et al.

[2]

Inhibiting Error Exacerbation in Offline Reinforcement Learning With Data Sparsity.

2025Fan Zhang, Malu Zhang et al.

[3]

AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems

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"Enhance offline reinforcement learning with a pessimistic auxiliary policy for reliable action sampling."

Reinforcement Learning•Score: 5•View PDF ↗

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Pessimistic Auxiliary Policy for Offline Reinforcement Learning

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References (42)

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"Enhance offline reinforcement learning with a pessimistic auxiliary policy for reliable action sampling."

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Pessimistic Auxiliary Policy for Offline Reinforcement Learning

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References (42)

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