| An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments A Andres, E Villar-Rodriguez, J Del Ser International Cross Domain Conference for Machine Learning & Knowledge …, 2022 | 12 | 2022 |
| Using Offline Data to Speed Up Reinforcement Learning in Procedurally Generated Environments A Andres, L Schäfer, SV Albrecht, J Del Ser Neurocomputing 618, 2025 | 6 | 2025 |
| Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share? A Andres, E Villar-Rodriguez, JD Ser Neural Computing and Applications 35 (23), 16753-16780, 2023 | 6 | 2023 |
| Collaborative exploration and reinforcement learning between heterogeneously skilled agents in environments with sparse rewards A Andres, E Villar-Rodriguez, AD Martinez, J Del Ser 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 6 | 2021 |
| Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation A Andres, E Villar-Rodriguez, J Del Ser 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 890-899, 2022 | 5 | 2022 |
| Exploring data augmentation and active learning benefits in imbalanced datasets L Moles, A Andres, G Echegaray, F Boto Mathematics 12 (12), 1898, 2024 | 3 | 2024 |
| Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning J Liu, A Andres, Y Jiang, X Luo, W Shu, SA Tsaftaris arXiv preprint arXiv:2409.02724, 2024 | 2 | 2024 |
| On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications A Andres, A Martinez-Seras, I Laña, J Del Ser Results in Engineering 24, 2024 | 1 | 2024 |
| Evolutionary multi-objective quantization of randomization-based neural networks J Del Ser, A Andrés, MN Bilbao, I Laña, JL Lobo 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1346-1351, 2023 | 1 | 2023 |
| Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards A Andres, D Zha, J Del Ser 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1414-1420, 2023 | 1 | 2023 |
| On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data A Martinez-Seras, J Del Ser, A Olivares-Rad, A Andres, P Garcia-Bringas arXiv preprint arXiv:2411.04586, 2024 | | 2024 |
| Words as Beacons: Guiding RL Agents with High-Level Language Prompts U Ruiz-Gonzalez, A Andres, PG Bascoy, J Del Ser Workshop on Open-World Agents (OWA), NeurIPS 2024, 2024 | | 2024 |
| Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models A Andres, J Del Ser Workshop on Intrinsically Motivated Open-ended Learning (IMOL), NeurIPS 2024, 2024 | | 2024 |
| Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies A Martinez-Seras, A Andres, J Del Ser 2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024 | | 2024 |
| Autonomous Agents Research Group S Albrecht, F Christianos, L Schäfer, A Kuznietsov, B Gyevnar, C Wang, ... | | 2022 |
Javier (Javi) Del SerResearch Professor, TECNALIA, Distinguished Professor, Universidad del País Vasco (UPV/EHU)Verifisert e-postadresse på tecnalia.com