Alain Andres

According to our database, Alain Andres authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., August, 2023

Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments.

Alain Andres, Lukas Schäfer, Esther Villar-Rodriguez, Stefano V. Albrecht, Javier Del Ser

CoRR, 2023

Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks.

Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards.

Alain Andres, Daochen Zha, Javier Del Ser

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation.

Alain Andres, Esther Villar-Rodriguez, Javier Del Ser

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments.

Alain Andres, Esther Villar-Rodriguez, Javier Del Ser

Proceedings of the Machine Learning and Knowledge Extraction, 2022

2021

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

Proceedings of the International Joint Conference on Neural Networks, 2021