Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control | ScienceToStartup | ScienceToStartup

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References (42)

[1]

Optimizers Qualitatively Alter Solutions And We Should Leverage This

2025Razvan Pascanu, Clare Lyle et al.

[2]

SimLauncher: Launching Sample-Efficient Real-World Robotic Reinforcement Learning via Simulation Pre-Training

2025Mingdong Wu, Lehong Wu et al.

[3]

Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups

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"Enable on-device finetuning of reinforcement learning models with streaming updates, bridging the gap between batch and online learning."

Reinforcement Learning•Score: 7•View PDF ↗

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Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control

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References (42)

Founder's Pitch

"Enable on-device finetuning of reinforcement learning models with streaming updates, bridging the gap between batch and online learning."

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Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control

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References (42)

Founder's Pitch

"Enable on-device finetuning of reinforcement learning models with streaming updates, bridging the gap between batch and online learning."

Commercial Viability Breakdown

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