Alain Andres
Orcid: 0000-0002-4688-1304
According to our database1,
Alain Andres
authored at least 17 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Using offline data to speed up Reinforcement Learning in procedurally generated environments.
Neurocomputing, 2025
Evaluating reinforcement learning-based neural controllers for quadcopter navigation in windy conditions.
Eng. Appl. Artif. Intell., 2025
Comparative Evaluation of Reinforcement Learning and Model Predictive Control for 6DoF Position Control of an Autonomous Underwater Vehicle.
Proceedings of the Towards Autonomous Robotic Systems - 26th Annual Conference, 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
Single Agent Formulation for Reinforcement Learning Based Routing of Urban Last Mile Logistics with Platooning Vehicles.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 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