UVM CS302 Modeling Complex Systems, 2018.
Prof. Laurent Hébert-Dufresne.

Using Policy Gradient RL to learn the rules of a stochastic cellular automata.

The agent is rewarded for matching Lotka-Volterra predator-prey dynamics and for transitions that are "spatially appropriate".

For comparison, a hand-engineered stochastic predator-prey CA can be seen here:
[ Ссылка ].

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