Decision-Transformer

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decision-transformer is an open-source codebase for Reinforcement Learning via Sequence Modeling. It provides scripts to reproduce experiments for Atari and OpenAI Gym environments.

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Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is decision-transformer?

Decision Transformer is the official codebase for the research paper "Decision Transformer: Reinforcement Learning via Sequence Modeling." This open-source project offers scripts and resources for researchers and developers to reproduce experiments in reinforcement learning. It specifically includes implementations for Atari and OpenAI Gym environments, allowing users to explore and apply sequence modeling techniques to various reinforcement learning tasks. The codebase is designed to facilitate academic research and development in the field, providing a foundational tool for understanding and extending Decision Transformer models.

Best used for

Ideal for professors and researchers who need to reproduce and extend experiments in reinforcement learning, particularly those involving sequence modeling. Especially valuable for academic settings to validate research findings and develop new AI algorithms within Atari and OpenAI Gym environments.

Common actions

implement reinforcement learning

reproduce research

experiment with sequence modeling

develop AI models

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Capabilities

Key features

Reinforcement Learning via Sequence Modeling
Atari experiments
OpenAI Gym experiments
Reproduce research experiments
MIT licensed

Target Audience

professorresearcherdeveloper

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What environments does Decision Transformer support for experiments?

The Decision Transformer codebase provides specific implementations and scripts for conducting experiments within both Atari and OpenAI Gym environments. This allows researchers to apply and test reinforcement learning via sequence modeling across a range of established tasks.

Is Decision Transformer suitable for commercial use?

Decision Transformer is released under the MIT License, which generally permits both private and commercial use. However, it is primarily an academic codebase for research, so users should consider its experimental nature and potential need for further development for production environments.

How can I get started with using the Decision Transformer codebase?

To get started, you should clone the GitHub repository. The project includes separate sub-directories for Atari and OpenAI Gym experiments, each with its own README file providing specific instructions on how to run the scripts and set up the necessary environment variables.

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