Consider a reinforcement learning problem where an agent has access to a...
We analyze algorithmic and computational aspects of biological phenomena...
We outline a phenomenological theory of evolution and origin of life by
...
We apply the theory of learning to physically renormalizable systems in ...
We demonstrate, both analytically and numerically, that learning dynamic...
It was recently shown that the Madelung equations, that is, a hydrodynam...
We discuss a possibility that the entire universe on its most fundamenta...
We define a neural network as a septuple consisting of (1) a state vecto...