Abhijit Gosavi
Orcid: 0000-0002-9703-4076
According to our database1,
Abhijit Gosavi
authored at least 28 papers
between 2004 and 2022.
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Bibliography
2022
On general multi-server queues with non-poisson arrivals and medium traffic: a new approximation and a COVID-19 ventilator case study.
Oper. Res., 2022
2020
Discrete-Event-Based Simulation Model for Performance Evaluation of Post-Earthquake Restoration in a Smart City.
IEEE Trans. Engineering Management, 2020
Proceedings of the Winter Simulation Conference, 2020
2019
A bounded actor-critic reinforcement learning algorithm applied to airline revenue management.
Eng. Appl. Artif. Intell., 2019
2017
Predicting Response of Risk-Seeking Systems During Project Negotiations in a System of Systems.
IEEE Syst. J., 2017
2016
Int. J. Autom. Comput., 2016
2015
Analyzing Responses from Likert Surveys and Risk-adjusted Ranking: A Data Analytics Perspective.
Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015
2014
Variance-penalized Markov decision processes: dynamic programming and reinforcement learning techniques.
Int. J. Gen. Syst., 2014
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014
Beyond exponential utility functions: A variance-adjusted approach for risk-averse reinforcement learning.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013
2012
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012
2011
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011
On the distribution of the number stranded in bulk-arrival, bulk-service queues of the M/G/1 form.
Eur. J. Oper. Res., 2011
Proceedings of the Winter Simulation Conference 2011, 2011
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
INFORMS J. Comput., 2009
Proceedings of the 2009 Winter Simulation Conference, 2009
2008
Stochastic Modeling of an Automated Guided Vehicle System With One Vehicle and a Closed-Loop Path.
IEEE Trans Autom. Sci. Eng., 2008
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
2007
Simulation optimization for revenue management of airlines with cancellations and overbooking.
OR Spectr., 2007
Simulation-based optimisation for material dispatching in Vendor-Managed Inventory systems.
Int. J. Simul. Process. Model., 2007
2006
2004
A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis.
Mach. Learn., 2004
Proceedings of the 36th conference on Winter simulation, 2004