3 citations · 5 across the 5 of their papers we have counts for
6 papers
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
Srivatsan Krishnan, Amir Yazdanbaksh, Shvetank Prakash +8
Machine learning is a prevalent approach to tame the complexity of design space exploration for domain-specific architectures. Using ML for design space exploration poses challenge…
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
Susobhan Ghosh, Raphael Kim, Prasidh Chhabria +5
There is a growing interest in using reinforcement learning (RL) to personalize sequences of treatments in digital health to support users in adopting healthier behaviors. Such seq…
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz +2
Motivated by applications such as machine repair, project monitoring, and anti-poaching patrol scheduling, we study intervention planning of stochastic processes under resource con…
Facilitating human-wildlife cohabitation through conflict prediction
Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande +6
With increasing world population and expanded use of forests as cohabited regions, interactions and conflicts with wildlife are increasing, leading to large-scale loss of lives (an…
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
Aditya Mate, Arpita Biswas, Christoph Siebenbrunner +2
We propose Streaming Bandits, a Restless Multi Armed Bandit (RMAB) framework in which heterogeneous arms may arrive and leave the system after staying on for a finite lifetime. Str…
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version)
Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri +2
Periodic Double Auctions (PDAs) are commonly used in the real world for trading, e.g. in stock markets to determine stock opening prices, and energy markets to trade energy in orde…