Rafael Pina

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Multi Agent Environments

Exploration Exploitation Tradeoff

Complex Domains

Reinforcement Learning

Top Venues

Publications

Rafael Pina, Varuna De Silva, Corentin Artaud
Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning. ICPRAM (2024)
Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu
Fully Independent Communication in Multi-Agent Reinforcement Learning. AAMAS (2024)
Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz
Residual Q-Networks for Value Function Factorizing in Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu
Fully Independent Communication in Multi-Agent Reinforcement Learning. CoRR (2024)
Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva
Staged Reinforcement Learning for Complex Tasks through Decomposed Environments. CoRR (2023)
Rafael Pina, Varuna De Silva, Corentin Artaud
Learning Independently from Causality in Multi-Agent Environments. CoRR (2023)
Rafael Pina, Varuna De Silva, Corentin Artaud
Causality Detection for Efficient Multi-Agent Reinforcement Learning. CoRR (2023)
Rafael Pina, Varuna De Silva, Corentin Artaud
Causality Detection for Efficient Multi-Agent Reinforcement Learning. AAMAS (2023)
Rafael Pina, Varuna De Silva, Corentin Artaud
Learning Independently from Causality in Multi-Agent Environments. ICPRAM (2023)
Rafael Pina, Varuna De Silva, Corentin Artaud
Discovering Causality for Efficient Cooperation in Multi-Agent Environments. CoRR (2023)
Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva
Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. ISPR (2) (2023)
Chaoyi Gu, Varuna De Silva, Corentin Artaud, Rafael Pina
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football. CoRR (2023)
Corentin Artaud, Rafael Pina, Xiyu Shi, Varuna De-Silva
Policy Generation from Latent Embeddings for Reinforcement Learning. ISPR (2) (2023)
Haileleol Tibebu, Varuna De Silva, Corentin Artaud, Rafael Pina, Xiyu Shi
Towards Interpretable Camera and LiDAR Data Fusion for Autonomous Ground Vehicles Localisation. Sensors 22 (20) (2022)
Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning. CoRR (2022)
Rafael Pina, Haileleol Tibebu, Joosep Hook, Varuna De Silva, Ahmet M. Kondoz
Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control. Sensors 21 (23) (2021)