Rolando Menchaca-Méndez

SteerCA: reinforcement learning environments for controlling cellular automata

SteerCA is a framework of reinforcement learning environments in which an agent steers a cellular automaton by acting on the cell it stands on, racing the automaton's own dynamics. Every action costs automaton time, so the cost of acting is a continuous difficulty axis set by construction. This release contains the Fir...