The project consists on selecting a solution using reinforcement learning techniques to a problem.
A 3D space must be navigatable by an agent from an initial position to an objective where Z axis represents height/floors and the agent can move in all 6 cardinal directions of the 3D space.
Applied methods:
- Q-Learning
- DQN