Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards. - Alain Andres; Esther Villar-Rodriguez; Aritz D. Martinez; Javier Del Ser (IJCNN, 2021)

An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments. - Alain Andres; Esther Villar-Rodriguez; Javier Del Ser (CD-MAKE, 2022)

Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation. - Alain Andres; Esther Villar-Rodriguez; Javier Del Ser (SSCI, 2022)

Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. - Alain Andres; Daochen Zha; Javier Del Ser (SSCI, 2023)

Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. - Javier Del Ser; Alain Andres; Miren Nekane Bilbao; Ibai Laña; Jesus L. Lobo (SSCI, 2023)

Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments. - Alain Andres; Lukas Schäfer 001; Esther Villar-Rodriguez; Stefano V. Albrecht; Javier Del Ser (CoRR, 2023)

Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share? - Alain Andres; Esther Villar-Rodriguez; Javier Del Ser (Neural Comput. Appl., 2023)

Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies. - Aitor Martínez-Seras; Alain Andres; Javier Del Ser (IJCNN, 2024)

Single Agent Formulation for Reinforcement Learning Based Routing of Urban Last Mile Logistics with Platooning Vehicles. - Nagore Bravo; Imanol Echeverria; Alain Andres; Ibai Lana (ITSC, 2024)

Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning. - Jingshuai Liu; Alain Andres; Yonghang Jiang; Xichun Luo; Wenmiao Shu; Sotirios A. Tsaftaris (CoRR, 2024)

Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models. - Alain Andres; Javier Del Ser (CoRR, 2024)

Words as Beacons: Guiding RL Agents with High-Level Language Prompts. - Unai Ruiz-Gonzalez; Alain Andres; Pedro G. Bascoy; Javier Del Ser (CoRR, 2024)

On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications. - Alain Andres; Aitor Martínez-Seras; Ibai Laña; Javier Del Ser (CoRR, 2024)

On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data. - Aitor Martínez-Seras; Javier Del Ser; Alain Andres; Pablo García Bringas (CoRR, 2024)

Comparative Evaluation of Reinforcement Learning and Model Predictive Control for 6DoF Position Control of an Autonomous Underwater Vehicle. - Sümer Tunçay; Alain Andres; Ignacio Carlucho (TAROS, 2025)

Using offline data to speed up Reinforcement Learning in procedurally generated environments. - Alain Andres; Lukas Schäfer 001; Stefano V. Albrecht; Javier Del Ser (Neurocomputing, 2025)