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What is TF-Agents?

TF-Agents is a comprehensive library specifically designed for reinforcement learning within the TensorFlow ecosystem. It facilitates the development, execution, and assessment of novel RL algorithms by providing reliable and customizable modular components. With TF-Agents, developers can efficiently iterate their code while ensuring proper integration of tests and performance evaluations. The library encompasses a variety of agents, such as DQN, PPO, REINFORCE, SAC, and TD3, each featuring distinct networks and policies tailored for specific tasks. Moreover, it supplies tools for creating custom environments, policies, and networks, which is essential for building complex RL workflows. TF-Agents is optimized for seamless interaction with Python and TensorFlow environments, offering versatility for different development and deployment needs. Additionally, it is fully compatible with TensorFlow 2.x and includes a wealth of tutorials and guides to help users start training agents on well-known environments like CartPole. Ultimately, TF-Agents not only serves as a powerful framework for researchers and developers delving into reinforcement learning but also fosters a supportive community that shares knowledge and resources to enhance learning experiences.

What is Gymnasium?

Gymnasium stands out as a well-crafted alternative to OpenAI's Gym library, providing a consistent API for reinforcement learning along with a diverse assortment of reference environments. The design of its interface is both user-friendly and pythonic, making it suitable for a variety of general RL tasks while also ensuring compatibility with legacy Gym environments. At the heart of Gymnasium lies the Env class, a powerful Python construct that encapsulates the concepts of a Markov Decision Process (MDP) as outlined in the theory of reinforcement learning. This pivotal class allows users to initialize a starting state, progress through multiple states in response to actions, and effectively visualize the environment. Furthermore, Gymnasium includes Wrapper classes that modify or enhance the environment, focusing on elements such as agent observations, rewards, and actions taken. In addition to a rich array of built-in environments, the platform offers numerous tools that lighten the research workload, making Gymnasium an adaptable option for practitioners in the field. Moreover, its continuous development guarantees that it stays relevant and beneficial for the ever-changing landscape of reinforcement learning applications, appealing to both newcomers and seasoned experts alike.

Media

Media

Integrations Supported

Python
OpenAI
TensorFlow

Integrations Supported

Python
OpenAI
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tensorflow

Date Founded

2015

Company Location

United States

Company Website

www.tensorflow.org/agents

Company Facts

Organization Name

Gymnasium

Company Location

United States

Company Website

gymnasium.farama.org

Categories and Features

Categories and Features

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