16 citations · 28 across the 7 of their papers we have counts for
3 papers · 1 filter
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications
Milashini Nambiar, Supriyo Ghosh, Priscilla Ong +3
There is increasing interest in data-driven approaches for recommending optimal treatment strategies in many chronic disease management and critical care applications. Reinforcemen…
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
Supriyo Ghosh, Laura Wynter, Shiau Hong Lim +1
We propose a framework, called neural-progressive hedging (NP), that leverages stochastic programming during the online phase of executing a reinforcement learning (RL) policy. The…
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control
Supriyo Ghosh, Sean Laguna, Shiau Hong Lim +2
Air traffic control is an example of a highly challenging operational problem that is readily amenable to human expertise augmentation via decision support technologies. In this pa…