Boosting deep Reinforcement Learning using pretraining with Logical Options | ScienceToStartup | ScienceToStartup

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References (56)

[1]

Deep Reinforcement Learning Agents are not even close to Human Intelligence

2025Quentin Delfosse, Jannis Blüml et al.

[2]

Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning

2025Zihan Ye, O. Arenz et al.

[3]

CALE: Continuous Arcade Learning Environment

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"Hybrid Hierarchical RL (H^2RL) enhances deep reinforcement learning by integrating symbolic pretraining to improve decision-making."

Reinforcement Learning•Score: 2•View PDF ↗

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Boosting deep Reinforcement Learning using pretraining with Logical Options

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References (56)

Founder's Pitch

"Hybrid Hierarchical RL (H^2RL) enhances deep reinforcement learning by integrating symbolic pretraining to improve decision-making."

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Boosting deep Reinforcement Learning using pretraining with Logical Options

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References (56)

Founder's Pitch

"Hybrid Hierarchical RL (H^2RL) enhances deep reinforcement learning by integrating symbolic pretraining to improve decision-making."

Commercial Viability Breakdown

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