Welcome to Chef’s Hat Gym documentation!

This project aims at providing a multi-agent competitive card game for training and evaluating different learning agents. The Chef’s Hat Environment provides a simple and easy-to-use API, based on the OpenAI GYM interface, for implementing, embedding, deploying, and evaluating reinforcement learning agents.

Contents:

• Installation and Quickstart Guide
• The Chef`s Hat Game and Gym
• Environment
• Rooms
• Agents
• Players
• Spectators
• ChefsHatGym package
• License
• Contact

Indices and tables

• Index

• Module Index

• Search Page

Acknowledgment

This environment and all its development is supported by a Starting Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme. G.A. No 804388, wHiSPER.