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cs.GT2024
Designing Automated Market Makers for Combinatorial Securities: A Geometric Viewpoint
Prommy Sultana Hossain, Xintong Wang, Fang-Yi Yu
Designing automated market makers (AMMs) for prediction markets on combinatorial securities over large outcome spaces poses significant computational challenges. Prior research has…
cs.LG2024
Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning
Erin J. Talvitie, Zilei Shao, Huiying Li +4
In model-based reinforcement learning, simulated experiences from the learned model are often treated as equivalent to experience from the real environment. However, when the model…