This is Grid World example that we made for the simple algorithm test The game is simple. The red rectangle must arrive in the circle, avoiding triangle.

1. Policy Iteration

2. Value Iteration

3. Monte-Carlo

4. SARSA

5. Q-Learning

we have changed Grid World so the obstacles are moving. To solve this problem, we have to use function approximator. We used Neural Network as function approximator

6. DQN

7. Policy Gradient