Inside TensorFlow: TF-Agents
Рет қаралды 20,216
Күн бұрынIn this episode of Inside TensorFlow, Software Engineers Oscar Ramirez and Sergio Guadarrama demonstrate to us TF-Agents, the latest reinforcement library for TensorFlow. Let us know what you think about this presentation in the comments below!
TF-Agents GitHub → goo.gle/2X8DT0C
TF-Agents Guides and Tutorials → goo.gle/2XfXpHp
Watch more from Inside TensorFlow playlist → goo.gle/Inside-TensorFlow
Subscribe to the TensorFlow channel → goo.gle/TensorFlow
@scienceofart9121 3 жыл бұрын
Amazing video, we would like to see more vidoes like this, maybe hands-on tutorials for tf-agents
@alessandroruggiero8932 4 жыл бұрын
where can i find the colab notebook with an example? for some non discrete environment i mean
@aixueer4ever 4 жыл бұрын
Is the code of the multi-armed bandits for movie recommendation example available? Thank you!
@aixueer4ever 4 жыл бұрын
I found this though: github.com/tensorflow/agents/blob/master/tf_agents/bandits/colabs/bandits_tutorial.ipynb
@jameschao121 3 жыл бұрын
Question: why is a reply buffer required for on-policy RL algos like PPO for tf-agents?
@mosicr 4 жыл бұрын
Great job by Google !! This library will make it easier to develop practical, real life RL applications.
@bediosoro7786 2 жыл бұрын
How can I use TF-agent in neural architecture search with reinforcement learning? is there any example
@dylancope 4 жыл бұрын
Does tf-agents have support for multiagent environments? I noticed that you have to provide an action space, however, different agents could have different action spaces
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