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| 2011 | ||
|---|---|---|
| 11 | Aykut F. Kahraman, Abhijit Gosavi: On the distribution of the number stranded in bulk-arrival, bulk-service queues of the M/G/1 form. European Journal of Operational Research 212(2): 352-360 (2011) | |
| 10 | Abhijit Gosavi: Approximate Policy Iteration for Semi-Markov Control Revisited. Procedia CS 6: 249-255 (2011) | |
| 2009 | ||
| 9 | Abhijit Gosavi: Reinforcement Learning for Model Building and Variance-penalized Control. Winter Simulation Conference 2009: 373-379 | |
| 8 | Abhijit Gosavi: Reinforcement Learning: A Tutorial Survey and Recent Advances. INFORMS Journal on Computing 21(2): 178-192 (2009) | |
| 2008 | ||
| 7 | Abhijit Gosavi: On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning. Winter Simulation Conference 2008: 525-531 | |
| 6 | Aykut F. Kahraman, Abhijit Gosavi, Karla J. Oty: Stochastic Modeling of an Automated Guided Vehicle System With One Vehicle and a Closed-Loop Path. IEEE T. Automation Science and Engineering 5(3): 504-518 (2008) | |
| 2006 | ||
| 5 | Abhijit Gosavi: A risk-sensitive approach to total productive maintenance. Automatica 42(8): 1321-1330 (2006) | |
| 4 | Abhijit Gosavi: Boundedness of iterates in Q-Learning. Systems & Control Letters 55(4): 347-349 (2006) | |
| 2004 | ||
| 3 | Ganesh Subramaniam, Abhijit Gosavi: Simulation-Based Optimization for Material Dispatching in a Retailer Network. Winter Simulation Conference 2004: 1412-1417 | |
| 2 | Abhijit Gosavi: Reinforcement learning for long-run average cost. European Journal of Operational Research 155(3): 654-674 (2004) | |
| 1 | Abhijit Gosavi: A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis. Machine Learning 55(1): 5-29 (2004) | |
| 1 | Aykut F. Kahraman | [6] [11] |
| 2 | Karla J. Oty | [6] |
| 3 | Ganesh Subramaniam | [3] |
Colors in the list of coauthors
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