See also: Google Scholar · Semantic Scholar. My name is bolded in the author list. * denotes equal contribution.

2026

Does Latent Context Help? A Controlled Evaluation of Inverse Reinforcement Learning in Arctic Shipping
V. Vaidheeswaran, D. Jayakody, B. Ambaw, J. Kumar, M. M. Alam, G. Spadon
arXiv preprint arXiv:2608.06105, 2026.
Towards Combining Task-Independent and Learned Task-Dependent Intrinsic Rewards in Cooperative Multi-Agent Reinforcement Learning
D. Jayakody, D. Rosati, J. Rajendran
2nd Workshop on Advancing AI through Theory of Mind (ToM4AI) at AAAI, 2026.
Replay Buffer with Efficient Local Forgetting for Adaptation to Local Reward Changes in Deep Model-Based Reinforcement Learning
R. MacDonald, D. Jayakody, S. Oore, J. Rajendran
Continual Reinforcement Learning Workshop at RLC, 2026.

2025

Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation
V. Vaidheeswaran, D. Jayakody, S. Mulay, A. Lo, M. M. Alam, G. Spadon
2025 IEEE International Conference on Big Data (BigData), 1194–1203, 2025.

2024

Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods
M. Velayuthan, D. Jayakody, N. de Silva, A. Fernando, S. Ranathunga
Proceedings of the Ninth Conference on Machine Translation (WMT), 901–907, 2024.
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
S. Ranathunga, N. de Silva, D. Jayakody, A. Fernando
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning
D. Jayakody, T. Ambegoda
British Machine Vision Conference (BMVC), 2024.

2023

Geometric Perception based Efficient Text Recognition
P. N. Deelaka, D. R. Jayakodi, D. Y. Silva
arXiv preprint arXiv:2302.03873, 2023.
Optimized Field Sampling of Mars-Analog Serpentine Zones via Machine Learning
D. R. Jayakody, T. D. Ambegoda, S. Karunatillake, E. B. Hughes
54th Lunar and Planetary Science Conference, 2023.