Introducing Snowball Fight ☃️, our first ML-Agents environment

The article introduces "Snowball Fight," a new environment for Unity's ML-Agents toolkit designed to facilitate reinforcement learning research. This environment allows for multi-agent interactions where agents can engage in snowball fights, promoting the development of cooperative and competitive strategies. Its release enhances the toolkit's capabilities, providing practitioners with a novel benchmark to evaluate and improve multi-agent training algorithms.