| Combining reinforcement learning with model predictive control for on-ramp merging J Lubars, H Gupta, S Chinchali, L Li, A Raja, R Srikant, X Wu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 32 | 2021 |
| Correcting the output of approximate graph matching algorithms J Lubars, R Srikant IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 1745-1753, 2018 | 20 | 2018 |
| The role of lookahead and approximate policy evaluation in policy iteration with linear value function approximation A Winnicki, J Lubars, M Livesay, R Srikant CoRR, 2021 | 7 | 2021 |
| Convergence rate of distributed random projections TT Doan, J Lubars, CL Beck, R Srikant IFAC-PapersOnLine 51 (23), 373-378, 2018 | 5 | 2018 |
| Optimistic policy iteration for MDPs with acyclic transient state structure J Lubars, A Winnicki, M Livesay, R Srikant arXiv preprint arXiv:2102.00030, 2021 | 3 | 2021 |
| The role of lookahead and approximate policy evaluation in reinforcement learning with linear value function approximation A Winnicki, J Lubars, M Livesay, R Srikant arXiv preprint arXiv:2109.13419, 2021 | 2 | 2021 |
| Improving the output of algorithms for large-scale approximate graph matching J Lubars University of Illinois at Urbana-Champaign, 2018 | 1 | 2018 |
| Learning and adaptation in graphs, networks, and autonomous systems J Lubars University of Illinois at Urbana-Champaign, 2021 | | 2021 |
| Computationally Efficient, Stable Scheduling for Wireless Systems with Limited Probing J Lubars, R Srikant, L Ying 2019 International Symposium on Modeling and Optimization in Mobile, Ad Hoc …, 2019 | | 2019 |
