Obserwuj
Alain Andrés Fernández
Tytuł
Cytowane przez
Cytowane przez
Rok
Collaborative exploration and reinforcement learning between heterogeneously skilled agents in environments with sparse rewards
A Andres, E Villar-Rodriguez, AD Martinez, J Del Ser
2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021
62021
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share?
A Andres, E Villar-Rodriguez, JD Ser
Neural Computing and Applications 35 (23), 16753-16780, 2023
52023
Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation
A Andres, E Villar-Rodriguez, J Del Ser
IEEE Symposium Series on Computational Intelligence (SSCI), 2022
32022
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments
A Andres, E Villar-Rodriguez, J Del Ser
International Cross Domain Conference for Machine Learning & Knowledge …, 2022
32022
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments
A Andres, L Schäfer, E Villar-Rodriguez, SV Albrecht, J Del Ser
Adaptive and Learning Agents Workshop, AAMAS, 2023
12023
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards
A Andres, D Zha, J Del Ser
arXiv preprint arXiv:2311.00426, 2023
2023
Autonomous Agents Research Group
S Albrecht, F Christianos, L Schäfer, A Rahman, I Carlucho, N Höpner, ...
2020
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–7