Build the iconic Snake Game using Reinforcement Learning

Learn to build on RL concepts through a iconic game we all have played. This intermediate project guides you in exploring artificial intelligence and machine learning techniques. You will apply these skills to create a well-known digital challenge. Gain hands-on experience in AI/ML by enhancing your programming capabilities through practical application.

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Artificial Intelligence

At a Glance

Name: Build the iconic Snake Game using Reinforcement Learning
Price: Free CAD
Rating: 0.0 (0 reviews)
Author: kuljit_aujla

A Look at the Project Ahead

Design a reward function that shapes what an agent learns to do, rather than just scoring it after the fact
Represent a game state as a compact set of features an agent can act on, instead of raw pixel or grid data
Implement epsilon-greedy exploration so an agent balances trying new moves against using what it already knows
Code the Q-learning update rule that improves an agent's estimates after every step
Train an agent from nothing and evaluate it against a random baseline

What You'll Need

You should be comfortable writing Python functions and classes and reading a for loop without trouble. No prior reinforcement learning knowledge is assumed, that's what the Examples sections are for.

Offered By: IBMSkillsNetwork

Build the iconic Snake Game using Reinforcement Learning

At a Glance

A Look at the Project Ahead

What You'll Need