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Abhijit Gosavi

Orcid: 0000-0002-9703-4076

According to our database1, Abhijit Gosavi authored at least 30 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Deep reinforcement learning for approximate policy iteration: convergence analysis and a post-earthquake disaster response case study.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Lesley H. Sneed
,
L. A. Spearing
Optim. Lett., December, 2024

Maintenance optimization in a digital twin for Industry 4.0.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Vy K. Le
Ann. Oper. Res., September, 2024

2022
On general multi-server queues with non-poisson arrivals and medium traffic: a new approximation and a COVID-19 ventilator case study.
[BibTeX]
[DOI]
Carlos Chaves
,
Abhijit Gosavi
Oper. Res., 2022

2020
Discrete-Event-Based Simulation Model for Performance Evaluation of Post-Earthquake Restoration in a Smart City.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Giacomo Fraioli
,
Lesley H. Sneed
,
Nathaniel Tasker
IEEE Trans. Engineering Management, 2020

The Actor-Critic Algorithm for Infinite Horizon Discounted Cost Revisited.
[BibTeX]
[DOI]
Abhijit Gosavi
Proceedings of the Winter Simulation Conference, 2020

2019
A bounded actor-critic reinforcement learning algorithm applied to airline revenue management.
[BibTeX]
[DOI]
Ryan J. Lawhead
,
Abhijit Gosavi
Eng. Appl. Artif. Intell., 2019

2017
Predicting Response of Risk-Seeking Systems During Project Negotiations in a System of Systems.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Siddhartha Agarwal
,
Cihan H. Dagli
IEEE Syst. J., 2017

2016
Solving Markov decision processes with downside risk adjustment.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Anish Parulekar
Int. J. Autom. Comput., 2016

2015
Analyzing Responses from Likert Surveys and Risk-adjusted Ranking: A Data Analytics Perspective.
[BibTeX]
[DOI]
Abhijit Gosavi
Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

2014
Variance-penalized Markov decision processes: dynamic programming and reinforcement learning techniques.
[BibTeX]
[DOI]
Abhijit Gosavi
Int. J. Gen. Syst., 2014

How to Rein in the Volatile Actor: A New Bounded Perspective.
[BibTeX]
[DOI]
Abhijit Gosavi
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Beyond exponential utility functions: A variance-adjusted approach for risk-averse reinforcement learning.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Sajal K. Das
,
Susan L. Murray
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Relative value iteration for average reward semi-Markov control via simulation.
[BibTeX]
[DOI]
Abhijit Gosavi
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

2012
Approximate Policy Iteration for Markov Control Revisited.
[BibTeX]
[DOI]
Abhijit Gosavi
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

2011
Approximate Policy Iteration for Semi-Markov Control Revisited.
[BibTeX]
[DOI]
Abhijit Gosavi
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.
[BibTeX]
[DOI]
Aykut F. Kahraman
,
Abhijit Gosavi
Eur. J. Oper. Res., 2011

Stochastic policy search for variance-penalized semi-Markov control.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Mandar Purohit
Proceedings of the Winter Simulation Conference 2011, 2011

Model-building semi-Markov adaptive critics.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Susan L. Murray
,
Jiaqiao Hu
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Finite horizon Markov control with one-step variance penalties.
[BibTeX]
[DOI]
Abhijit Gosavi
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Reinforcement Learning: A Tutorial Survey and Recent Advances.
[BibTeX]
[DOI]
Abhijit Gosavi
INFORMS J. Comput., 2009

Reinforcement Learning for Model Building and Variance-penalized Control.
[BibTeX]
[DOI]
Abhijit Gosavi
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.
[BibTeX]
[DOI]
Aykut F. Kahraman
,
Abhijit Gosavi
,
Karla J. Oty
IEEE Trans Autom. Sci. Eng., 2008

On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning.
[BibTeX]
[DOI]
Abhijit Gosavi
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

2007
Simulation optimization for revenue management of airlines with cancellations and overbooking.
[BibTeX]
[DOI]
Abhijit Gosavi
,
Emrah Ozkaya
,
Aykut F. Kahraman
OR Spectr., 2007

Simulation-based optimisation for material dispatching in Vendor-Managed Inventory systems.
[BibTeX]
[DOI]
Ganesh Subramaniam
,
Abhijit Gosavi
Int. J. Simul. Process. Model., 2007

2006
Boundedness of iterates in Q-Learning.
[BibTeX]
[DOI]
Abhijit Gosavi
Syst. Control. Lett., 2006

A risk-sensitive approach to total productive maintenance.
[BibTeX]
[DOI]
Abhijit Gosavi
Autom., 2006

2004
A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis.
[BibTeX]
[DOI]
Abhijit Gosavi
Mach. Learn., 2004

Reinforcement learning for long-run average cost.
[BibTeX]
[DOI]
Abhijit Gosavi
Eur. J. Oper. Res., 2004

Simulation-Based Optimization for Material Dispatching in a Retailer Network.
[BibTeX]
[DOI]
Ganesh Subramaniam
,
Abhijit Gosavi
Proceedings of the 36th conference on Winter simulation, 2004


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