Juan Cardenas-Cartagena

According to our database, Juan Cardenas-Cartagena authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning.

Aleksandar Todorov, Juan Cardenas-Cartagena, Rafael Fernandes Cunha, Marco Zullich, Matthia Sabatelli

Trans. Mach. Learn. Res., 2025

Interpretable Function Approximation with Gaussian Processes in Value-Based Model-Free Reinforcement Learning.

Matthijs van der Lende, Matthia Sabatelli, Juan Cardenas-Cartagena

Proceedings of the Northern Lights Deep Learning Conference, 2025

Upside-Down Reinforcement Learning for More Interpretable Optimal Control.

Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia Sabatelli

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024

Forecasting Smog Clouds With Deep Learning.

Valentijn Oldenburg, Juan Cardenas-Cartagena, Matias Valdenegro-Toro

CoRR, 2024

2022

Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models.

Juan Cardenas-Cartagena, Mohamed Elnourani, Baltasar Beferull-Lozano

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Risk-Aware Particle Filtering for State Estimation in Recirculating Aquaculture Systems.

Juan Cardenas-Cartagena, Baltasar Beferull-Lozano, Mohamed Elnourani, Daniel Romero

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022