Search Results for author: Satpreet Harcharan Singh

Found 3 papers, 2 papers with code

RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews

1 code implementation • 5 Feb 2024 • Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin, Ashutosh Sabharwal, Nidal Moukaddam, Ankit B Patel

Semi-structured interviews (SSIs) are a commonly employed data-collection method in healthcare research, offering in-depth qualitative insights into subject experiences.

Language Modelling Large Language Model

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Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes

1 code implementation • 25 Sep 2021 • Satpreet Harcharan Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni Wen Brunton

Here, we take a complementary in silico approach, using artificial agents trained with reinforcement learning to develop an integrated understanding of the behaviors and neural computations that support plume tracking.

reinforcement-learning Reinforcement Learning (RL)

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Neuroprospecting with DeepRL agents

no code implementations • NeurIPS Workshop AI4Scien 2021 • Satpreet Harcharan Singh

A virtuous cycle between neuroscience and deep reinforcement learning is emerging, and the AI community can do much to enable and accelerate it.

reinforcement-learning Reinforcement Learning (RL)

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