Yes. And the optimal policy is trivial given those inputs, as long as the aperture between pipes is larger than the "jump" height of the bird: if bird y + bird

Yes. And the optimal policy is trivial given those inputs, as long as the aperture between pipes is larger than the "jump" height of the bird: if bird y + bird y velocity > bottom pipe y, jump. So finding that with a neural network or genetic algorithm is fairly silly. If the aperture is smaller than the jump height, then you need to do something smart to time your jumps.