Somewhat related to #71, it might be interesting to hard-code an approximate solution to a Deep Reinforcement Learning problem, something like the Mountain Car problem.
In the aforementioned problem, two approximate solutions could be:
Build a network with integrators to keep track of how long the car has been going in each direction and use that to map the problem space.
Build a network with integrators to solve the problem and then see how much Deep Learning improves the solution reward.
Somewhat related to #71, it might be interesting to hard-code an approximate solution to a Deep Reinforcement Learning problem, something like the Mountain Car problem.
In the aforementioned problem, two approximate solutions could be: