Simple Deep Q Reinforcement learning

This is a simple implementation Deep Q-learning algorithm in pytorch. the agent can move in four directions. going on green squares gives the model a reward while going on red squares punishes the model. the model should find a way to maximize number of rewards in 10 steps

this graph shows the changes in total rewards gained by the model after 30 runs.