cbinners / gym-battlesnake

Multi-agent reinforcement learning environment

Original Repo: here

Changes vs original:

• Updated input layer (now has 12 input feature layers, instead of original 6)
• Proper food spawning rules (to make arena)
• Game execution logic bugfixes
• Uses pytorch
• Removed SFML rendering dependency

Gym-Battlesnake

Gym-Battlesnake is a multi-agent reinforcement learning environment inspired by the annual Battlesnake event held in Victoria, BC each year, and conforming to the OpenAI Gym interface.

Features

• Multi-threaded game implementation written in fast C++
• Single agent training with multiple other agents as opponents

Installation

Prerequisites

Gym-Battlesnake has only been tested on Ubuntu 18.04. Install the dependencies using the command:

sudo apt-get update && sudo apt-get install cmake libopenmpi-dev python3-dev zlib1g-dev

Contributing

1. Fork
2. Clone and Setup
3. Develop
4. Pull Request