Alain Andres
Orcid: 0000-0002-4688-1304
According to our database1,
Alain Andres
authored at least 14 papers
between 2021 and 2025.
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Bibliography
2025
Using offline data to speed up Reinforcement Learning in procedurally generated environments.
Neurocomputing, 2025
2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data.
CoRR, 2024
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications.
CoRR, 2024
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models.
CoRR, 2024
Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning.
CoRR, 2024
Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share?
Neural Comput. Appl., August, 2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments.
CoRR, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments.
Proceedings of the Machine Learning and Knowledge Extraction, 2022
2021
Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards.
Proceedings of the International Joint Conference on Neural Networks, 2021