Optimized decentralized control of large scale systems. - Xiao Qi Shi; Daniel E. Davison; Raymond H. S. Kwong; Edward J. Davison (ICCA, 2016)

Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2020)

Energy-based Surprise Minimization for Multi-Agent Value Factorization. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2020)

TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2021)

Surprise Minimizing Multi-Agent Learning with Energy-based Models. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (NeurIPS, 2022)

Scope Loss for Imbalanced Classification and RL Exploration. - Hasham Burhani; Xiao Qi Shi; Jonathan Jaegerman; Daniel Balicki (CoRR, 2023)

Information Content Exploration. - Jacob Chmura; Hasham Burhani; Xiao Qi Shi (CoRR, 2023)