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Brahmanage, J. C., Ling, J., & Kumar, A. (2025) Leveraging Constraint Violation Signals For Action Constrained Reinforcement Learning. The Thirty-ninth Annual AAAI Conference on Artificial Intelligence(AAAI). [Accepted]
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Pham, A.Q., Brahmanage, J. C., Kumar, (2025) A. ShipNaviSim: Data-Driven Simulation for RealWorld Maritime Navigation. The Twenty-Forth International Conference on Autonomous Agents and Multiagent Systems (AAMAS). [Accepted]
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Brahmanage, J. C., Ling, J., & Kumar, A. (2023). FlowPG: Action-constrained Policy Gradient with Normalizing Flows. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). Link
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Brahmanage, J., Kandappu, T., & Zheng, B. (2022). A data-driven approach for scheduling bus services subject to demand constraints. IEEE Transactions on Knowledge and Data Engineering (TKDE). Link
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Brahmanage, J., Kandappu, T., & Zheng, B. (2023). MetroWatch: A predictive system to estimate travel attributes using smart card data. 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3607–3610. Link
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Chathuranga, J., Ediriweera, S., Hasantha, R., Munasinghe, P., & Ranathunga, S. (2018). Annotating opinions and opinion targets in student course feedback. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC). Link
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Chathuranga, J., Ediriweera, S., Munasinghe, P., Hasantha, R., & Ranathunga, S. (2017). Opinion target extraction for student course feedback. Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING), 295–307. Link