Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming.(2022)

Supriyo GHOSH , Laura WYNTER , Shiau Hong LIM , Duc Thien NGUYEN
UAI 1 -5

2022
Probabilistic inference based message-passing for resource constrained DCOPs

Pradeep Varakantham , Supriyo Ghosh , Akshat Kumar
international conference on artificial intelligence 411 -417

7
2015
Dynamic redeployment to counter congestion or starvation in vehicle sharing systems

Yossiri Adulyasak , Pradeep Varakantham , Patrick Jaillet , Supriyo Ghosh
international conference on automated planning and scheduling 79 -87

1
2015
Robust repositioning to counter unpredictable demand in bike sharing systems

Michael Trick , Pradeep Varakantham , Supriyo Ghosh
international joint conference on artificial intelligence 3096 -3102

53
2016
Strategic planning for setting up base stations in Emergency Medical Systems

Pradeep Varakantham , Supriyo Ghosh
international conference on automated planning and scheduling 385 -393

6
2016
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems

Yossiri Adulyasak , Pradeep Varakantham , Patrick Jaillet , Supriyo Ghosh
AAAS

154
2017
Online repositioning in bike sharing systems

Pradeep Varakantham , Patrick Jaillet , Supriyo Ghosh , Meghna Lowalekar
international conference on automated planning and scheduling 200 -208

15
2017
Incentivizing the use of bike trailers for dynamic repositioning in bike sharing systems

Pradeep Varakantham , Supriyo Ghosh
international conference on automated planning and scheduling 373 -381

15
2017
Dispatch guided allocation optimization for effective emergency response

Pradeep Varakantham , Supriyo Ghosh
national conference on artificial intelligence 775 -783

2
2018
Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems.

Pradeep Varakantham , Supriyo Ghosh , Muralidhar Konda Konda
international conference on automated planning and scheduling 330 -338

3
2018
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning.

Supriyo Ghosh , Jing Yu Koh , Patrick Jaillet
international joint conference on artificial intelligence 5864 -5870

4
2019
Exploiting MAS-Based Simulation to Improve the Indian Railways' Efficiency

Supriyo Ghosh , Animesh Dutta , Viviana Mascardi , Daniela Briola
multiagent system technologies 8076 278 -291

2013
A deep ensemble method for multi-agent reinforcement learning: A case study on air traffic control

Supriyo Ghosh , Sean Laguna , Shiau Hong Lim , Laura Wynter
Smpte Journal 31 468 -476

6
2021
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services

Amar Prakash Azad , Supriyo Ghosh , Ajay Gupta , Harshit Kumar
Smpte Journal 36 ( 11) 12440 -12446

1
2022
How to fight production incidents? an empirical study on a large-scale cloud service

Supriyo Ghosh , Manish Shetty , Chetan Bansal , Suman Nath
Smpte Journal 126 -141

1
2022
Detection Is Better Than Cure: A Cloud Incidents Perspective

Vaibhav Ganatra , Anjaly Parayil , Supriyo Ghosh , Yu Kang
1891 -1902

6
2023
Empowering practical root cause analysis by large language models for cloud incidents

Yinfang Chen , Huaibing Xie , Minghua Ma , Yu Kang
arXiv preprint arXiv:2305.15778

19
2023
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Xuchao Zhang , Supriyo Ghosh , Chetan Bansal , Rujia Wang
arXiv preprint arXiv:2401.13810

2
2024
X-lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel , Fiza Husain , Aditya Singh , Supriyo Ghosh
arXiv preprint arXiv:2404.03662

2024