Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control. - Rafael Pina; Haileleol Tibebu; Joosep Hook; Varuna De Silva; Ahmet M. Kondoz (Sensors, 2021)

Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning. - Rafael Pina; Varuna De Silva; Joosep Hook; Ahmet M. Kondoz (CoRR, 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)

Causality Detection for Efficient Multi-Agent Reinforcement Learning. - Rafael Pina; Varuna De Silva; Corentin Artaud (AAMAS, 2023)

Learning Independently from Causality in Multi-Agent Environments. - Rafael Pina; Varuna De Silva; Corentin Artaud (ICPRAM, 2023)

Policy Generation from Latent Embeddings for Reinforcement Learning. - Corentin Artaud; Rafael Pina; Xiyu Shi; Varuna De Silva (ISPR (2), 2023)

Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. - Rafael Pina; Corentin Artaud; Xiaolan Liu 001; Varuna De Silva (ISPR (2), 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)

Fully Independent Communication in Multi-Agent Reinforcement Learning. - Rafael Pina; Varuna De Silva; Corentin Artaud; Xiaolan Liu 001 (AAMAS, 2024)

Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning. - Rafael Pina; Varuna De Silva; Corentin Artaud (ICPRAM, 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., 2024)

Investigating Transferability in Multi-Agent Reinforcement Learning. - Corentin Artaud; Rafael Pina; Varuna De Silva; Xiyu Shi (COMPSAC, 2025)

EEG-Based Signal Processing Framework for Self-Organized Criticality Detection. - Mindula Illeperuma; Varuna De Silva; Rafael Pina (DSP, 2025)

Representing Clinical Conditions on Vital Signs From Healthy Individuals Using Latent Modeling. - Rafael Pina; Varuna De Silva; Mindula Illeperuma (DSP, 2025)

Exploring Communication in Multi-Agent Reinforcement Learning Under Agent Malfunction. - Rafael Pina; Varuna De Silva (ICPRAM, 2025)

Discovering causality for efficient cooperation in multi-agent environments. - Rafael Pina; Varuna De Silva; Corentin Artaud (Neurocomputing, 2025)