Deep Multi-Critic Network for accelerating Policy Learning in multi-agent environments. - Joosep Hook; Varuna De Silva; Ahmet M. Kondoz (Neural Networks, 2020)

Learning data-driven decision-making policies in multi-agent environments for autonomous systems. - Joosep Hook; Seif El-Sedky; Varuna De Silva; Ahmet M. Kondoz (Cogn. Syst. Res., 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)

Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning. - Rafael Pina; Varuna De Silva; Joosep Hook; Ahmet M. Kondoz (CoRR, 2022)

A Multimodal Data Processing System for LiDAR-Based Human Activity Recognition. - Jamie Roche; Varuna De Silva; Joosep Hook; Mirco Moencks; Ahmet M. Kondoz (IEEE Trans. Cybern., 2022)

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)