Procgen

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Procgen is an open-source benchmark of 16 procedurally-generated Gym environments designed to measure how quickly reinforcement learning agents learn generalizable skills. These environments run at high speed, enabling efficient training and evaluation.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is procgen?

Procgen offers a benchmark of 16 procedurally-generated Gym environments, specifically designed to evaluate the generalization capabilities and sample efficiency of reinforcement learning agents. Unlike static environments, Procgen's randomized nature prevents agents from memorizing action sequences, forcing them to learn truly generalizable skills. The environments are highly optimized, running at thousands of steps per second on a single core, which significantly accelerates research and development. Furthermore, the codebase is customizable, allowing developers to modify existing environments or create new ones with minimal effort. This makes Procgen an invaluable tool for researchers and developers working on advanced AI agents.

Best used for

Ideal for developers and data scientists who need to benchmark reinforcement learning agents, train AI models for generalizable skills, and develop custom simulation environments. Especially valuable for researchers seeking high-speed, randomized, and customizable platforms for advanced AI agent development.

Common actions

benchmark reinforcement learning

train AI agents

evaluate generalization

develop custom environments

low-code/no-codeopen-sourceworkflowscollaborationautomated workflowdeepfake"AI Agents"github copilotface swapping

Capabilities

Key features

16 procedurally-generated environments
High-speed execution
Randomized levels
Customizable environments
Gym and Gym3 compatibility
Python 3.7-3.10 support

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of environments does Procgen offer?

Procgen provides 16 distinct procedurally-generated Gym environments, including games like CoinRun, Maze, and Bossfight. These environments are designed to test an agent's ability to generalize skills rather than memorize specific sequences, offering varied challenges for reinforcement learning research.

How fast do Procgen environments run?

Procgen environments are highly optimized for speed, capable of running at thousands of steps per second on a single CPU core. This efficiency allows for rapid iteration and training of reinforcement learning agents, significantly accelerating research and development cycles.

Can I customize or create my own environments with Procgen?

Yes, Procgen is designed for customization. If you install from source, you can perform experiments where you change existing environments or build entirely new ones. The environment-specific code is often less than 300 lines, making it accessible for modification.

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