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tensorflow avatar

tensorflow/agents

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3,016 stars·752 forks·Python·Apache-2.0·6 views

Agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Features

  • Deep Learning Ecosystems - Reinforcement learning library for TensorFlow.
  • Deep Learning Frameworks - Reinforcement learning library for TensorFlow.
  • Machine Learning Frameworks - Scalable library for reinforcement learning and bandits.
  • Perception and Machine Learning - Scalable library for reinforcement learning and bandits.
  • Reinforcement Learning - Efficient batched reinforcement learning library for TensorFlow.
  • Reinforcement Learning and Simulation - Scalable library for reinforcement learning and contextual bandits.

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Open-source alternatives to Agents

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Frequently asked questions

What does tensorflow/agents do?

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

What are the main features of tensorflow/agents?

The main features of tensorflow/agents are: Deep Learning Ecosystems, Deep Learning Frameworks, Machine Learning Frameworks, Perception and Machine Learning, Reinforcement Learning, Reinforcement Learning and Simulation.

What are some open-source alternatives to tensorflow/agents?

Open-source alternatives to tensorflow/agents include: keras-rl/keras-rl — keras-rl is a reinforcement learning library that enables the training of neural agents using Keras. It serves as a… tensorforce/tensorforce — Tensorforce: a TensorFlow library for applied reinforcement learning. catalyst-team/catalyst — Accelerated deep learning R&D. deepmind/trfl — TensorFlow Reinforcement Learning. autonomio/talos — Hyperparameter Experiments with TensorFlow and Keras. cornellius-gp/gpytorch — GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process…