his is another Deep Q Learning demo with a more realistic and larger setup:

- The **state space** is even larger and continuous: The agent has 30 eye sensors pointing in all directions and in each direction is observes 5 variables: the range, the type of sensed object (green, red), and the velocity of the sensed object. The agent's proprioception includes two additional sensors for its own speed in both x and y directions. This is a total of 152-dimensional state space.
- There are 4 **actions** available 