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Alain Andrés

Observed names: Alain Andres, Andres, Alain
ORCID: 0000-0002-4688-1304
Observed ORCID: 0000-0002-4688-1304
OpenAlex ID: A5082466907
Exploring Data Augmentation and Active Learning Benefits in Imbalanced Datasets
2024 · Luis Moles, Alain Andres, et al. · Mathematics · 20
On the black-box explainability of object detection models for safe and trustworthy industrial applications
2024 · Alain Andres, Aitor Martinez-Seras, et al. · Results in Engineering · 18
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share?
2022 · Alain Andres, Esther Villar-Rodriguez, et al. · Neural Computing and Applications · 9
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Using offline data to speed up Reinforcement Learning in procedurally generated environments
2024 · Alain Andres, Lukas Schäfer, et al. · Neurocomputing · 8
An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments
2022 · Alain Andres, Esther Villar-Rodriguez, et al. · Lecture notes in computer science · 7
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Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation
2022 · Alain Andres, Esther Villar-Rodriguez, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 6
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Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards
2021 · Alain Andres, Esther Villar-Rodriguez, et al. · 5
Evaluating reinforcement learning-based neural controllers for quadcopter navigation in windy conditions
2025 · Alain Andres, Aritz D. Martinez, et al. · Engineering Applications of Artificial Intelligence · 4
Large Language Models for Structured Task Decomposition in Reinforcement Learning Problems with Sparse Rewards
2025 · Unai Ruiz-Gonzalez, Alain Andres, et al. · Machine Learning and Knowledge Extraction · 3
Enhancing design of experiments through uncertainty estimation and synthetic data generation
2026 · Luis Moles, Alain Andres, et al. · Results in Engineering · 2
On the inherent robustness of one-stage object detection against out-of-distribution data
2026 · Aitor Martinez-Seras, Javier Del Ser, et al. · Neural Networks · 1
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Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning
2024 · Liu, Jingshuai, Andres, Alain, et al. · arXiv (Cornell University) · 1
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Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards
2023 · Alain Andres, Daochen Zha, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 1
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Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks
2023 · Javier Del Ser, Alain Andrés, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 1
Fast Policy Learning for 6-DOF Position Control of Underwater Vehicles
2025 · Tunçay, Sümer, Andres, Alain, et al. · arXiv (Cornell University)
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D-CRISP: Explaining Object Detectors by Combining Randomized and Segment-Based Perturbations
2025 · Alain Andres, Javier Del Ser · Frontiers in artificial intelligence and applications
Towards Surgical Task Automation: Actor-Critic Models Meet Self-Supervised Imitation Learning *
2025 · Jingshuai Liu, Alain Andres, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Comparative Evaluation of Reinforcement Learning and Model Predictive Control for 6DoF Position Control of an Autonomous Underwater Vehicle
2025 · Sümer Tunçay, Alain Andres, et al. · Lecture notes in computer science
Words as Beacons: Guiding RL Agents with High-Level Language Prompts
2024 · Ruiz-Gonzalez, Unai, Andres, Alain, et al. · arXiv (Cornell University)
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Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models
2024 · Andres, Alain, Del Ser, Javier · arXiv (Cornell University)
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Single Agent Formulation for Reinforcement Learning Based Routing of Urban Last Mile Logistics with Platooning Vehicles
2024 · Nagore Bravo, Imanol Echeverria, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC)
Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies
2024 · Aitor Martinez-Seras, Alain Andres, et al.
Works count: 22
Citation count: 84
H-index: 5
I10-index: 2
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