Felippe Schmoeller Roza

Orcid: 0000-0001-6900-6601

According to our database1, Felippe Schmoeller Roza authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Reinforcement Learning with Ensemble Model Predictive Safety Certification.
CoRR, 2024

2023
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022
Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Uncertainty-Aware Hierarchical Reinforcement Learning Robust to Noisy Observations.
Proceedings of the Future Technologies Conference, 2022

2021
Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

From Black-box to White-box: Examining Confidence Calibration under different Conditions.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020
Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detection.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


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