Sarika Shrivastava
Papers
2
Total Citations
6
H-Index
2
About
Sarika Shrivastava is an emerging researcher at the intersection of artificial intelligence and healthcare, with a growing focus on deep reinforcement learning (DRL) and humanoid robotics. Her work explores how DRL—a powerful fusion of reinforcement learning and deep learning—can be harnessed to solve complex decision-making problems in the healthcare sector. In her highly cited 2023 paper, "Nitty-Gritty of Deep Reinforcement Learning for the Healthcare Sector" (4 citations), she provides a foundational overview of DRL algorithms and their potential to optimize clinical workflows, treatment strategies, and resource allocation. More recently, Shrivastava has ventured into embodied AI, co-authoring "Advancements in Humanoid Robotics: Designing an Artificial Neural Network-based Speech Recognition Robot for Tactical Deployment" (2024, 2 citations), which demonstrates her ability to translate theoretical machine learning concepts into tangible, real-world robotic systems. Though early in her career, her work signals a commitment to bridging algorithmic innovation with practical, high-impact applications—particularly in medicine and autonomous systems. As the fields of DRL and healthcare AI continue to expand, Shrivastava’s contributions offer a promising foundation for future breakthroughs in intelligent, adaptive medical technologies.
Research Focus
Key Achievements
Top Papers
- 1Nitty-Gritty of Deep Reinforcement Learning for the Healthcare Sector4 citations · 2023
- 2