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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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1 result for “DoubleDQN”

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learningcs.LG

A paper uses RL to design microfluidic flow shapes efficiently.

problem Designing complex flow shapes in microfluidics using inverse problems.

method Formulated as a Reinforcement Learning (RL) problem, trained a DoubleDQN agent.

result Success frequency reached 90% in 200,000 episodes, rewards converged.

Reinforcement Learning Inverse Problems Microfluidics Flow Sculpting DoubleDQN

2018-11-29abs ↗pdf ↗