Abhijit Gosavi

30 papers Misc 6Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Deep reinforcement learning for approximate policy iteration: convergence analysis and a post-earthquake disaster response case study. Optim. Lett. Abhijit Gosavi, Lesley H. Sneed, L. A. Spearing
2024	J	`jnl`	Maintenance optimization in a digital twin for Industry 4.0. Ann. Oper. Res. Abhijit Gosavi, Vy K. Le
2022	J	`jnl`	On general multi-server queues with non-poisson arrivals and medium traffic: a new approximation and a COVID-19 ventilator case study. Oper. Res. Carlos Chaves, Abhijit Gosavi
2020	J	`jnl`	Discrete-Event-Based Simulation Model for Performance Evaluation of Post-Earthquake Restoration in a Smart City. IEEE Trans. Engineering Management Abhijit Gosavi, Giacomo Fraioli, Lesley H. Sneed, Nathaniel Tasker
2020	Misc	`conf`	The Actor-Critic Algorithm for Infinite Horizon Discounted Cost Revisited. WSC Abhijit Gosavi
2019	J	`jnl`	A bounded actor-critic reinforcement learning algorithm applied to airline revenue management. Eng. Appl. Artif. Intell. Ryan J. Lawhead, Abhijit Gosavi
2017	J	`jnl`	Predicting Response of Risk-Seeking Systems During Project Negotiations in a System of Systems. IEEE Syst. J. Abhijit Gosavi, Siddhartha Agarwal, Cihan H. Dagli
2016	J	`jnl`	Solving Markov decision processes with downside risk adjustment. Int. J. Autom. Comput. Abhijit Gosavi, Anish Parulekar
2015	—	`conf`	Analyzing Responses from Likert Surveys and Risk-adjusted Ranking: A Data Analytics Perspective. Complex Adaptive Systems Abhijit Gosavi
2014	—	`conf`	Beyond exponential utility functions: A variance-adjusted approach for risk-averse reinforcement learning. ADPRL Abhijit Gosavi, Sajal K. Das, Susan L. Murray
2014	—	`conf`	How to Rein in the Volatile Actor: A New Bounded Perspective. Complex Adaptive Systems Abhijit Gosavi
2014	J	`jnl`	Variance-penalized Markov decision processes: dynamic programming and reinforcement learning techniques. Int. J. Gen. Syst. Abhijit Gosavi
2013	Misc	`conf`	Relative value iteration for average reward semi-Markov control via simulation. WSC Abhijit Gosavi
2012	—	`conf`	Approximate Policy Iteration for Markov Control Revisited. Complex Adaptive Systems Abhijit Gosavi
2011	—	`conf`	Approximate Policy Iteration for Semi-Markov Control Revisited. Complex Adaptive Systems Abhijit Gosavi
2011	—	`conf`	Model-building semi-Markov adaptive critics. ADPRL Abhijit Gosavi, Susan L. Murray, Jiaqiao Hu
2011	J	`jnl`	On the distribution of the number stranded in bulk-arrival, bulk-service queues of the M/G/1 form. Eur. J. Oper. Res. Aykut F. Kahraman, Abhijit Gosavi
2011	Misc	`conf`	Stochastic policy search for variance-penalized semi-Markov control. WSC Abhijit Gosavi, Mandar Purohit
2010	—	`conf`	Finite horizon Markov control with one-step variance penalties. Allerton Abhijit Gosavi
2009	Misc	`conf`	Reinforcement Learning for Model Building and Variance-penalized Control. WSC Abhijit Gosavi
2009	J	`jnl`	Reinforcement Learning: A Tutorial Survey and Recent Advances. INFORMS J. Comput. Abhijit Gosavi
2008	Misc	`conf`	On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning. WSC Abhijit Gosavi
2008	J	`jnl`	Stochastic Modeling of an Automated Guided Vehicle System With One Vehicle and a Closed-Loop Path. IEEE Trans Autom. Sci. Eng. Aykut F. Kahraman, Abhijit Gosavi, Karla J. Oty
2007	J	`jnl`	Simulation optimization for revenue management of airlines with cancellations and overbooking. OR Spectr. Abhijit Gosavi, Emrah Ozkaya, Aykut F. Kahraman
2007	J	`jnl`	Simulation-based optimisation for material dispatching in Vendor-Managed Inventory systems. Int. J. Simul. Process. Model. Ganesh Subramaniam, Abhijit Gosavi
2006	J	`jnl`	A risk-sensitive approach to total productive maintenance. Autom. Abhijit Gosavi
2006	J	`jnl`	Boundedness of iterates in Q-Learning. Syst. Control. Lett. Abhijit Gosavi
2004	J	`jnl`	A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis. Mach. Learn. Abhijit Gosavi
2004	J	`jnl`	Reinforcement learning for long-run average cost. Eur. J. Oper. Res. Abhijit Gosavi
2004	Misc	`conf`	Simulation-Based Optimization for Material Dispatching in a Retailer Network. WSC Ganesh Subramaniam, Abhijit Gosavi