AI power users are moving beyond one-off prompts toward structured, reusable workflows that cut repetitive tasks and boost productivity. This shift includes setting permanent preferences in ChatGPT, ...
A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...
Abstract: The difficulty of Multi-Agent Reinforcement Learning (MARL) increases with the growing number of agents in system. The value function decomposition is an effective way to alleviate the curse ...
ABSTRACT: In this paper, we study edge detection or segmentation, which is recognized as a rudiment innovation as it can evaluate sharpness and analyze object boundaries. That’s the reason it has been ...
Causal assertions stem from an asymmetric relation between some variable's causes and effects, i.e., they imply the existence of a function decomposition of a model where the effects are a function of ...
Abstract: A dynamical system is mixed monotone when there exists a related decomposition function that separates the system dynamics into cooperative and competitive state interactions. Such a ...
@Article{Dietterich:2000, author = "Dietterich, Thomas G.", title = "Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition", journal ...
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