Alain Andres - RankMe

26 papers A 2B 2C 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the inherent robustness of one-stage object detection against out-of-distribution data. Neural Networks Aitor Martínez-Seras, Javier Del Ser, Aitzol Olivares-Rad, Alain Andres, Pablo García Bringas
2025	—	`conf`	Comparative Evaluation of Reinforcement Learning and Model Predictive Control for 6DoF Position Control of an Autonomous Underwater Vehicle. TAROS Sümer Tunçay, Alain Andres, Ignacio Carlucho
2025	A	`conf`	D-CRISP: Explaining Object Detectors by Combining Randomized and Segment-Based Perturbations. ECAI Alain Andres, Javier Del Ser
2025	J	`jnl`	Evaluating reinforcement learning-based neural controllers for quadcopter navigation in windy conditions. Eng. Appl. Artif. Intell. Alain Andres, Aritz D. Martinez, Sümer Tunçay, Ignacio Carlucho
2025	J	`jnl`	Fast Policy Learning for 6-DOF Position Control of Underwater Vehicles. CoRR Sümer Tunçay, Alain Andres, Ignacio Carlucho
2025	J	`jnl`	Large Language Models for Structured Task Decomposition in Reinforcement Learning Problems with Sparse Rewards. Mach. Learn. Knowl. Extr. Unai Ruiz-Gonzalez, Alain Andres, Javier Del Ser
2025	A	`conf`	Towards Surgical Task Automation: Actor-Critic Models Meet Self-Supervised Imitation Learning IROS Jingshuai Liu, Alain Andres, Yonghang Jiang, Yuning Du, Xichun Luo, Wenmiao Shu, Can Pu, Sotirios A. Tsaftaris
2025	J	`jnl`	Using offline data to speed up Reinforcement Learning in procedurally generated environments. Neurocomputing Alain Andres, Lukas Schäfer, Stefano V. Albrecht, Javier Del Ser
2024	B	`conf`	Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies. IJCNN Aitor Martínez-Seras, Alain Andres, Javier Del Ser
2024	J	`jnl`	Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models. CoRR Alain Andres, Javier Del Ser
2024	J	`jnl`	On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications. CoRR Alain Andres, Aitor Martínez-Seras, Ibai Laña, Javier Del Ser
2024	J	`jnl`	On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data. CoRR Aitor Martínez-Seras, Javier Del Ser, Alain Andres, Pablo García Bringas
2024	—	`conf`	Single Agent Formulation for Reinforcement Learning Based Routing of Urban Last Mile Logistics with Platooning Vehicles. ITSC Nagore Bravo, Imanol Echeverria, Alain Andres, Ibai Lana
2024	J	`jnl`	Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning. CoRR Jingshuai Liu, Alain Andres, Yonghang Jiang, Xichun Luo, Wenmiao Shu, Sotirios A. Tsaftaris
2024	J	`jnl`	Words as Beacons: Guiding RL Agents with High-Level Language Prompts. CoRR Unai Ruiz-Gonzalez, Alain Andres, Pedro G. Bascoy, Javier Del Ser
2023	J	`jnl`	Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share? Neural Comput. Appl. Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
2023	—	`conf`	Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. SSCI Alain Andres, Daochen Zha, Javier Del Ser
2023	J	`jnl`	Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards. CoRR Alain Andres, Daochen Zha, Javier Del Ser
2023	—	`conf`	Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. SSCI Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo
2023	J	`jnl`	Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments. CoRR Alain Andres, Lukas Schäfer, Esther Villar-Rodriguez, Stefano V. Albrecht, Javier Del Ser
2022	C	`conf`	An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments. CD-MAKE Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
2022	J	`jnl`	An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments. CoRR Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
2022	J	`jnl`	Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? CoRR Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
2022	—	`conf`	Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation. SSCI Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
2022	J	`jnl`	Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation. CoRR Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
2021	B	`conf`	Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards. IJCNN Alain Andres, Esther Villar-Rodriguez, Aritz D. Martinez, Javier Del Ser