Unlock the full potential of AI with Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!


For The Win: An AI Agent Achieves Human-Level Performance in a 3D Video Game
Latest   Machine Learning

For The Win: An AI Agent Achieves Human-Level Performance in a 3D Video Game

Last Updated on July 20, 2023 by Editorial Team

Author(s): Sherwin Chen

Originally published on Towards AI.

Environment Observation

Source: https://deepmind.com/blog/article/capture-the-flag-science

In this article, we’ll discuss For The Win(FTW) agent, from DeepMind, that achieves human-level performance in a popular 3D team-based multiplayer first-person video game. The FTW agent utilizes a novel two-tier optimization process in which a population of independent RL agents is trained concurrently from thousands of parallel matches with agents playing in teams together and against each other on randomly generated environments. Each agent in the population learns its internal reward signal to complement the sparse delayed reward from winning and selects actions using a novel temporally hierarchical representation that enables the agent to reason at multiple timescales.

The… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓