  In this paper we deploy for the first time Reinforcement-Learning algorithms
in the context of the conformal-bootstrap programme to obtain numerical
solutions of conformal field theories (CFTs). As an illustration, we use a soft
Actor-Critic algorithm and find approximate solutions to the truncated crossing
equations of two-dimensional CFTs, successfully identifying well-known theories
like the 2D Ising model and the 2D CFT of a compactified scalar. Our methods
can perform efficient high-dimensional searches that can be used to study
arbitrary (unitary or non-unitary) CFTs in any spacetime dimension.
