Rafael Pina

According to our database, Rafael Pina authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

2024

Residual Q-Networks for Value Function Factorizing in Multiagent Reinforcement Learning.

Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning.

Rafael Pina, Varuna De Silva, Corentin Artaud

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Fully Independent Communication in Multi-Agent Reinforcement Learning.

Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Discovering Causality for Efficient Cooperation in Multi-Agent Environments.

Rafael Pina, Varuna De Silva, Corentin Artaud

CoRR, 2023

Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football.

Chaoyi Gu, Varuna De Silva, Corentin Artaud, Rafael Pina

CoRR, 2023

Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments.

Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva

Proceedings of the Intelligent Systems and Pattern Recognition, 2023

Policy Generation from Latent Embeddings for Reinforcement Learning.

Corentin Artaud, Rafael Pina, Xiyu Shi, Varuna De Silva

Proceedings of the Intelligent Systems and Pattern Recognition, 2023

Learning Independently from Causality in Multi-Agent Environments.

Rafael Pina, Varuna De Silva, Corentin Artaud

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Causality Detection for Efficient Multi-Agent Reinforcement Learning.

Rafael Pina, Varuna De Silva, Corentin Artaud

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Towards Interpretable Camera and LiDAR Data Fusion for Autonomous Ground Vehicles Localisation.

Haileleol Tibebu, Varuna De Silva, Corentin Artaud, Rafael Pina, Xiyu Shi

Sensors, 2022

Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning.

Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz

CoRR, 2022

2021

Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control.

Rafael Pina, Haileleol Tibebu, Joosep Hook, Varuna De Silva, Ahmet M. Kondoz

Sensors, 2021