![]() ![]() Provides you with tools to modify and evaluate new heuristic-based rules to alter your snake’s behavior.Allows you to deploy the framework, which includes the development environment and an AI-powered snake.The SageMaker Battlesnake Starter Pack does the following: The following diagram illustrates the runtime AI infrastructure. The development environment is made of Jupyter notebooks that run inside an Amazon SageMaker notebook instance.The third layer is an Amazon SageMaker endpoint that hosts the snake.The second layer is an AWS Lambda function that transcribes the Battlesnake API into the RL agent’s internal representation.The first layer is an Amazon API Gateway, which exposes the snake HTTP API to the Battlesnake engine.The creation of the stack deploys the following three layers and a development environment: The Amazon SageMaker Battlesnake Starter Pack uses quick-create links in AWS CloudFormation, which provide one-click deployment from the GitHub repo to your AWS Management Console. The SageMaker Battlesnake Starter Pack allows you to focus on developing your AI instead of worrying about the infrastructure surrounding it. Furthermore, the web infrastructure to deploy and host your AI bot are generated automatically. The Starter Pack also provides an environment for you to train your own RL policy and the tools to build custom heuristics-based rules on top of the RL algorithms. The SageMaker Battlesnake Starter Pack provides you with an AI-powered snake trained with RL. This post shows how to use the SageMaker Battlesnake Starter Pack to reduce the time and effort required to build your snakes. For more information, see Getting Started on the Battlesnake website. The snakes are implemented as a programmed web server that the Battlesnake engine queries for the next move given the current state of the game. Therefore, maximizing survivability, aggressively attacking other snakes, or trying to avoid other snakes are all viable strategies that players have adopted. ![]() Snakes that haven’t had food for 100 moves die. When two snakes have a head-on collision, the smaller snake dies. In Battlesnake, there are several differences compared to the traditional snake game. When your snake eats food, it grows longer. If your snake hits a wall, another snake, or your snake’s own body, your snake dies. ![]() In the traditional snake game, you control your snakes to move up, down, left, or right. This post shows how to use Amazon SageMaker to build an RL-based snake. Teams can build snakes by using a variety of strategies ranging from state-of-the-art deep reinforcement learning (RL) algorithms to unique heuristics-based strategies. Teams of developers build snakes for the competition and learn new tech skills, learn to collaborate, and have fun. Battlesnake also hosts several offline events that are attended by more than a thousand developers and non-developers alike and are streamed on Twitch. Hundreds of snakes compete and rise up in the ranks in the online Battlesnake global arena. Battlesnake attracts a community of developers at all levels. Battlesnake is an AI competition based on the traditional snake game in which multiple AI-powered snakes compete to be the last snake surviving. ![]()
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