Audience
Academic researchers searching for a tool to develop and test new reinforcement learning algorithms within the TensorFlow ecosystem
About TF-Agents
TensorFlow Agents (TF-Agents) is a comprehensive library designed for reinforcement learning in TensorFlow. It simplifies the design, implementation, and testing of new RL algorithms by providing well-tested modular components that can be modified and extended. TF-Agents enables fast code iteration with good test integration and benchmarking. It includes a variety of agents such as DQN, PPO, REINFORCE, SAC, and TD3, each with their respective networks and policies. It also offers tools for building custom environments, policies, and networks, facilitating the creation of complex RL pipelines. TF-Agents supports both Python and TensorFlow environments, allowing for flexibility in development and deployment. It is compatible with TensorFlow 2.x and provides tutorials and guides to help users get started with training agents on standard environments like CartPole.
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Company Information
Tensorflow
Founded: 2015
United States
www.tensorflow.org/agents
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Product Details
Platforms Supported
Cloud
Training
Documentation
In Person
Videos
Support
Phone Support
Online
TF-Agents Frequently Asked Questions
Q: What kinds of users and organization types does TF-Agents work with?
TF-Agents works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does TF-Agents support in their product?
TF-Agents supports these languages: English.
Q: What kind of support options does TF-Agents offer?
TF-Agents offers support via phone support and online.
Q: What other applications or services does TF-Agents integrate with?
TF-Agents integrates with: Python and TensorFlow.
Q: Does TF-Agents have an API?
Yes, TF-Agents has an API.
Q: What type of training does TF-Agents provide?
TF-Agents provides training in the form of documentation, in person, and videos.
