GitHub - NathanEpstein/Pavlov.js: Reinforcement learning using Markov Decision Processes. For JS, written in C++.var module = require('pavlovjs'); var pavlov = new module.Pavlov(); // transitions and rewards pavlov.transition({ "state": "A", "action": "R", "state_": "B" }); pavlov.transition({ "state": "B", "action": "B", "state_": "D" }); pavlov.reward(0); pavlov.transition({ "state": "A", "action": "B", "state_": "C" }); pavlov.transition({ "state": "C", "action": "R", "state_": "D" }); pavlov.transition({
