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.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.