3 papers
cs.AI2026
Neetyabhas: A Framework for Uncertainty-Aware Public Policy Optimization in Rational Agent-Based Models
Janani Venugopalan, Gaurav Deshkar, Rishabh Gaur +2
Purpose The WHO's COVID-19 non-pharmaceutical interventions (e.g., lockdowns, vaccinations) effectively curb transmission but impose heavy economic strains. Existing research often…
cs.LG2025
Domain-driven Metrics for Reinforcement Learning: A Case Study on Epidemic Control using Agent-based Simulation
Rishabh Gaur, Gaurav Deshkar, Jayanta Kshirsagar +2
For the development and optimization of agent-based models (ABMs) and rational agent-based models (RABMs), optimization algorithms such as reinforcement learning are extensively us…
cs.LG2023
Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient
Gaurav Deshkar, Jayanta Kshirsagar, Harshal Hayatnagarkar +1
To mitigate the impact of the pandemic, several measures include lockdowns, rapid vaccination programs, school closures, and economic stimulus. These interventions can have positiv…