Roman Bityutskiy is in the process of developing a bot that plays the beloved first-person shooter Half-Life 2: Deathmatch. Unlike what you could expect for a bot in an older game, this bot does not utilize the game engine, cache or memory.

It was built using IgaoGuru's CS:GO Sequoia neural network for player detection & Alzaib's GTA 5 self-driving car neural network for pathfinding. It relies only on screen-shots of the game for input and uses machine learning & computer vision to autonomously move, aim, shoot, reload & respawn.

Some of the bot's features are listed below and featured in the video Roman has provided. If you would like to keep up to date on the development of this bot, keep an eye on the project's github: https://github.com/r0man-b/Half-Life-2-AI.

• Intelligently navigates the environment.
• Detects & avoids obstacles.
• Recognizes valid pathways.
• Efficiently detects enemies & shoots on target.
• Utilizes weapon alt-fire when available.
• Zooms in scoped weapons.
• ... and much more!