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2020 – today
- 2024
[i5]Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella:
muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults. CoRR abs/2408.15150 (2024)- 2023
- [c2]Ali Ghanbari
, Deepak-George Thomas, Muhammad Arbab Arshad, Hridesh Rajan:
Mutation-based Fault Localization of Deep Neural Networks. ASE 2023: 1301-1313 - [i4]Ali Ghanbari, Deepak-George Thomas, Muhammad Arbab Arshad, Hridesh Rajan:
Mutation-based Fault Localization of Deep Neural Networks. CoRR abs/2309.05067 (2023) - 2022
- [c1]Deepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari:
Temporal shift reinforcement learning. EuroMLSys@EuroSys 2022: 95-100 - 2021
- [i3]Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger, Ali Jannesari:
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning. CoRR abs/2105.12254 (2021) - [i2]Deepak-George Thomas:
Temporal Aware Deep Reinforcement Learning. CoRR abs/2109.02145 (2021)
2010 – 2019
- 2019
- [i1]Syed Arbab Mohd Shihab, Caleb Logemann, Deepak-George Thomas, Peng Wei:
Towards the Next Generation Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking. CoRR abs/1902.06824 (2019)
Coauthor Index
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