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Alain Andres
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2020 – today
- 2024
- [c6]Aitor Martínez-Seras, Alain Andres, Javier Del Ser:
Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies. IJCNN 2024: 1-10 - [i6]Jingshuai Liu, Alain Andres, Yonghang Jiang, Xichun Luo, Wenmiao Shu, Sotirios A. Tsaftaris:
Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning. CoRR abs/2409.02724 (2024) - 2023
- [j1]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share? Neural Comput. Appl. 35(23): 16753-16780 (2023) - [c5]Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo:
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. SSCI 2023: 1346-1351 - [c4]Alain Andres, Daochen Zha, Javier Del Ser:
Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. SSCI 2023: 1414-1420 - [i5]Alain Andres, Lukas Schäfer, Esther Villar-Rodriguez, Stefano V. Albrecht, Javier Del Ser:
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments. CoRR abs/2304.09825 (2023) - [i4]Alain Andres, Daochen Zha, Javier Del Ser:
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards. CoRR abs/2311.00426 (2023) - 2022
- [c3]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments. CD-MAKE 2022: 201-220 - [c2]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation. SSCI 2022: 890-899 - [i3]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? CoRR abs/2202.12174 (2022) - [i2]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments. CoRR abs/2205.11184 (2022) - [i1]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation. CoRR abs/2211.16838 (2022) - 2021
- [c1]Alain Andres, Esther Villar-Rodriguez, Aritz D. Martinez, Javier Del Ser:
Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards. IJCNN 2021: 1-10
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