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Anil Yildiz
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Conference and Workshop Papers
- 2023
- [c5]Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer:
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. IV 2023: 1-7 - 2022
- [c4]John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. SafeAI@AAAI 2022 - 2021
- [c3]John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. AAAI 2021: 11880-11887 - [c2]John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. AAAI 2021: 11888-11894 - 2018
- [c1]Anil Yildiz, N. Kemal Ure, Gökhan Inalhan:
An Online Algorithm for Optimizing Invariant Conditions for Procedural Nonlinear Constrained Hybrid Systems. ACC 2018: 1430-1437
Informal and Other Publications
- 2023
- [i4]Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer:
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. CoRR abs/2305.18633 (2023) - 2021
- [i3]John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. CoRR abs/2109.08180 (2021) - 2020
- [i2]John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. CoRR abs/2010.03597 (2020) - [i1]John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. CoRR abs/2010.03599 (2020)
Coauthor Index
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