By Professor Kathryn Elizabeth Kasmarik

Preprints

Tran VP; Perera AG; Garratt MA; Kasmarik K; Anavatti SG, 2024, Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching, http://arxiv.org/abs/2407.01308v1

Perera A; Tran VP; Anavatti S; Kasmarik K; Garratt M, 2023, Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles, http://dx.doi.org/10.48550/arxiv.2312.03493

Abdelfattah S; Kasmarik K; Hu J, 2023, A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments, http://dx.doi.org/10.48550/arxiv.2308.09734

Tran VP; Perera A; Garratt MA; Kasmarik K; Anavatti S, 2023, Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles, http://arxiv.org/abs/2306.04083v1

Nguyen DT; Kasmarik K; Abbass H, 2022, Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance, http://arxiv.org/abs/2204.00272v1

Tran VP; Garratt MA; Kasmarik K; Anavatti SG, 2021, Frontier-led Swarming: Robust Multi-Robot Coverage of Unknown Environments, http://arxiv.org/abs/2111.14295v2

Nguyen TD; Kasmarik KE; Abbass HA, 2020, Q-Learning with Differential Entropy of Q-Tables, http://dx.doi.org/10.48550/arxiv.2006.14795

Nguyen HT; Nguyen TD; Tran VP; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass HA, 2020, Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding, http://dx.doi.org/10.48550/arxiv.2004.11543

Nguyen DT; Kasmarik KE; Abbass HA, 2020, Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees, http://dx.doi.org/10.48550/arxiv.2003.04675

Nguyen H; Tran V; Nguyen T; Garratt M; Kasmarik K; Barlow M; Anavatti S; Abbass H, 2018, Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction, http://dx.doi.org/10.48550/arxiv.1810.04344

Abbass HA; Leu G; Merrick K, 2016, A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data, http://dx.doi.org/10.48550/arxiv.1604.00921

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