Snake deep-Q learning

Description of contents:

• ./src:
• environment.py - contains the snake engine (snakeGame) and snake env build on top of gymnasium (snakeEnv)
• environment_utils.py - contains helper methods for rendering and calculating more complicated states values
• play.py - simple algorithm allowing you to play using key.left, key.up, key.right
• agent.py - deep q learning feedforward NN built with PyTorch
• snakeAgent.py - current implementation of the agent in snake game with the learning loop
• performance_inspect.py - allows for inspecting death_states, snake lengths etc. of past episodes
• ./test:
• tests for utilities functions
• ./models:
• saved parameters of trained NNs
• ./performance:
• .npz files with metrics from past episodes