  We use reinforcement learning to tackle the problem of untangling braids. We
experiment with braids with 2 and 3 strands. Two competing players learn to
tangle and untangle a braid. We interface the braid untangling problem with the
OpenAI Gym environment, a widely used way of connecting agents to reinforcement
learning problems. The results provide evidence that the more we train the
system, the better the untangling player gets at untangling braids. At the same
time, our tangling player produces good examples of tangled braids.
