Rafael Pina - RankMe

21 papers A 2B 1C 3Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Discovering causality for efficient cooperation in multi-agent environments. Neurocomputing Rafael Pina, Varuna De Silva, Corentin Artaud
2025	—	`conf`	EEG-Based Signal Processing Framework for Self-Organized Criticality Detection. DSP Mindula Illeperuma, Varuna De Silva, Rafael Pina
2025	C	`conf`	Exploring Communication in Multi-Agent Reinforcement Learning Under Agent Malfunction. ICPRAM Rafael Pina, Varuna De Silva
2025	B	`conf`	Investigating Transferability in Multi-Agent Reinforcement Learning. COMPSAC Corentin Artaud, Rafael Pina, Varuna De Silva, Xiyu Shi
2025	—	`conf`	Representing Clinical Conditions on Vital Signs From Healthy Individuals Using Latent Modeling. DSP Rafael Pina, Varuna De Silva, Mindula Illeperuma
2024	A	`conf`	Fully Independent Communication in Multi-Agent Reinforcement Learning. AAMAS Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu
2024	J	`jnl`	Fully Independent Communication in Multi-Agent Reinforcement Learning. CoRR Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu
2024	J	`jnl`	Residual Q-Networks for Value Function Factorizing in Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz
2024	C	`conf`	Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning. ICPRAM Rafael Pina, Varuna De Silva, Corentin Artaud
2023	A	`conf`	Causality Detection for Efficient Multi-Agent Reinforcement Learning. AAMAS Rafael Pina, Varuna De Silva, Corentin Artaud
2023	J	`jnl`	Causality Detection for Efficient Multi-Agent Reinforcement Learning. CoRR Rafael Pina, Varuna De Silva, Corentin Artaud
2023	J	`jnl`	Discovering Causality for Efficient Cooperation in Multi-Agent Environments. CoRR Rafael Pina, Varuna De Silva, Corentin Artaud
2023	J	`jnl`	Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football. CoRR Chaoyi Gu, Varuna De Silva, Corentin Artaud, Rafael Pina
2023	C	`conf`	Learning Independently from Causality in Multi-Agent Environments. ICPRAM Rafael Pina, Varuna De Silva, Corentin Artaud
2023	J	`jnl`	Learning Independently from Causality in Multi-Agent Environments. CoRR Rafael Pina, Varuna De Silva, Corentin Artaud
2023	—	`conf`	Policy Generation from Latent Embeddings for Reinforcement Learning. ISPR (2) Corentin Artaud, Rafael Pina, Xiyu Shi, Varuna De Silva
2023	—	`conf`	Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. ISPR (2) Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva
2023	J	`jnl`	Staged Reinforcement Learning for Complex Tasks through Decomposed Environments. CoRR Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva
2022	J	`jnl`	Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning. CoRR Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz
2022	J	`jnl`	Towards Interpretable Camera and LiDAR Data Fusion for Autonomous Ground Vehicles Localisation. Sensors Haileleol Tibebu, Varuna De Silva, Corentin Artaud, Rafael Pina, Xiyu Shi
2021	J	`jnl`	Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control. Sensors Rafael Pina, Haileleol Tibebu, Joosep Hook, Varuna De Silva, Ahmet M. Kondoz