task #2 - a "function agent" that solves the problem

[w7eryron]

write a class in godot that goes along with the godot game that demonstrates that the computer can solve the problem, but not necessarily efficiently::: 1 start at 0,0,0

2. for part 1, get bombs, by first heading down the "x" value, then the "z" value ... then on to the next power nodule, until we have about 120 bombs ...
3. then move back to 0,0,0 and launch
4. go so high that above he mountains
5. then head down th x-value, then the z-value, then
6. allow gravity to pull down, never exceeding 10m/s to land on the landing zone

question:

[w7eryron]

completed. This turned out to be highly instructive. The completed function agent is actually a "policy" in RML terminology. I was the Agent, modifying the parameters, to achieve a successful landing. Effectively, this exercise was a rudimentary form of Supervised learning. This was a very useful exercise that I would like to include in the training process for new folks attempting this SciOly event.

[w7eryron]

ps - the function actually running does not work as described. And it is surprisingly fast. There is also much room for improvement. It has correctly completed the task five times in a row now. Next step is to vary the landing site location. This should not be a problem for this policy.