ORCID as entered in ROS

Select Publications
2023, A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments, , http://dx.doi.org/10.48550/arxiv.2308.09734
,2023, Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles, , http://arxiv.org/abs/2306.04083v1
,2022, Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance, , http://arxiv.org/abs/2204.00272v1
,2021, Frontier-led Swarming: Robust Multi-Robot Coverage of Unknown Environments, , http://arxiv.org/abs/2111.14295v2
,2020, Q-Learning with Differential Entropy of Q-Tables, , http://dx.doi.org/10.48550/arxiv.2006.14795
,2020, Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding, , http://dx.doi.org/10.48550/arxiv.2004.11543
,2020, Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees, , http://dx.doi.org/10.48550/arxiv.2003.04675
,2018, Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction, , http://dx.doi.org/10.48550/arxiv.1810.04344
,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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