MazeSolver
The MazeSolver environment features a static maze that the agent learns to solve as fast as possible. The agent observers the environment using raycasts, moves by teleporting in 2 dimensions and is given a reward for getting closer to the goal.
To build the MazeSolver environment from scratch, you can follow the guide available at Building Maze Solver
|
Num Agents |
1 |
|
Observation Space |
DictSpace({‘Ray_Num_8_Deg_360,00_Max_4096,00_ECC_WorldStatic’: make_ray_cast_space(num_rays=8,num_categories=0,max_dist=4096)}) |
|
Action Space |
DictSpace({‘MovementInput_XY_-10,00_10,00’: BoxSpace([-10.0,-10.0],[10.0,10.0])}) |
|
Num Vectorized Copies |
16 |
