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2022-07-22 11:49:30 +02:00
# Lunar Lander
This is an example of an Actor-Critic learning Agent as part of the ASIM RL Tutorial
It uses gym for the environment and torch as the basis for the A-C Network
### Action Space
1) do nothing,
2) fire left engine,
3) fire bottom engine,
4) fire right engine
### Observation Space
1) x,
2) y,
3) linear velocity in x,
4) linear velocity in y,
5) angle,
6) angular velocity
7) ground contact leg 1
8) ground contact leg 2
### Rewards
1) landing at landing pad +[100-140] points.
2) crash: -100 points
3) landing: +100 points
4) landing on leg: +10 points per leg
5) firing an engine: -0.3 points per engine per frame
it counts as solved at 200 points
### Starting State
The lander starts at the top center of the viewport with
a random initial force applied to its center of mass.