Deepak-George Thomas

According to our database, Deepak-George Thomas authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling.

Niful Islam, Ragib Shahriar Ayon, Deepak-George Thomas, Shibbir Ahmed, Mohammad Wardat

CoRR, January, 2026

2025

$\mu \text{PRL}$: A Mutation Testing Pipeline for Deep Reinforcement Learning Based on Real Faults.

Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults.

Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella

CoRR, 2024

2023

Mutation-based Fault Localization of Deep Neural Networks.

Ali Ghanbari, Deepak-George Thomas, Muhammad Arbab Arshad, Hridesh Rajan

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

Temporal shift reinforcement learning.

Deepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari

Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022

2021

Temporal Aware Deep Reinforcement Learning.

Deepak-George Thomas

CoRR, 2021

Interpretable UAV Collision Avoidance using Deep Reinforcement Learning.

Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger, Ali Jannesari

CoRR, 2021

2019

Towards the Next Generation Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking.

Syed Arbab Mohd Shihab, Caleb Logemann, Deepak-George Thomas, Peng Wei

CoRR, 2019