Mini Honor

"Mini" variations of complex systems, such as chess (Minichess) and the mobile game Honor of Kings (Mini HoK), are emerging as valuable research environments. These simplified versions allow researchers to explore fundamental aspects of multi-agent reinforcement learning (MARL), latent factor analysis (LFA) using efficient algorithms like Mini-Hes, and parameter-efficient transfer learning in vision transformers (ViTs) with techniques like Mini Adapters, while mitigating the computational burden of their full-scale counterparts. The resulting insights and developed tools contribute to advancements in AI, particularly in areas like game playing, recommender systems, and computer vision, by providing efficient and accessible platforms for algorithm development and evaluation.