đź‘‹ I received my Computer Science PhD at the Universidade de Pernambuco in Recife, Brazil. Developed studies addressed solving an autonomous object-goal navigation problem with a quadcopter using sample-efficient reinforcement learning algorithms. Previous research focused on perception for fire recognition with deep learning and computer vision approaches. Current research interest includes robotics, computer vision, and decision-making focused on multi-agent systems. Latest publications
- "Explainability Through Axioms: An Axiomatic Explainable Reinforcement Learning Framework". (submitted to SSRN), pp. 1-6. 2024. View
- "How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach". Australasian Conference on Robotics and Automation (ACRA), pp. 1-6. 2024. View
- "eXplainable Reinforcement Learning Using Introspection in a Competitive Scenario". IEEE Latin American Conference on Computational Intelligence (LA-CCI), pp. 1-6. 2024. View