Deep Reinforcement Learning: Pong from Pixels
In almost all real-time networks playing games, there's very high jitter in inputs. Even when the machine is moving straight, it's always very keen on doing some wiggling with the other keys.<p>My question is: Is it possible to eliminate that by further training? Naively you could drop 'stupid' inputs, but I assume that may also mess with the machine's understanding.