Intro
There are strong parallels between robots and characters in a game. In fact, in many ways, one can view a non-playable character (NPC) as a virtual robot, with its own observations about the environment, its own set of actions and a specific objective. Thus it is natural to explore how we can train behaviors within Unity using reinforcement learning. This is precisely what the ML-Agents Toolkit offers.
Resources
- Unity- ML-Agents Overview
- https://github.com/Unity-Technologies/ml-agents
- CLI + MCP + AI IDE (ChatGPT Codex/Cursor/Antigravity/Claude Code/Windsurf): Next Steps for Unity Workflow Automation
Unity ML-Agents Toolkit
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. https://github.com/Unity-Technologies/ml-agents