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Inside TensorFlow: TF-Agents
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In 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!
Inside TensorFlow: TF-Agents
Inside TensorFlow: TF Filesystems
Inside TensorFlow: tf.Keras (Part 1)
Introduction to TF Agents and Deep Q Learning (Reinforcement learning with TensorFlow Agents)
TF-Agents: Reinforcement Learning (TensorFlow Meets)
Inside TensorFlow: Functions, not sessions
Reinforcement Learning using TensorFlow Agents Part-2
TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)
TensorFlow Agents PPO on Ant (AntBulletEnv-v0)
TensorFlow Agents PPO on Minitaur (MinitaurBulletEnv-v0)
Reinforcement Learning with TensorFlow Agents
pybullet double pendulum, trained using TensorFlow Agents
Inside TensorFlow: Graph rewriting (Macros, not functions)
Introduction to TF Agents Bandits Library (Reinforcement learning with TensorFlow Agents)
Recommendation with TF Agents Bandits Library (Reinforcement learning with TensorFlow Agents)
Saving a TF-Agent Policy Network in a servable format
Build a board game app with policy gradient (Reinforcement learning with TensorFlow Agents)
Inside TensorFlow: Control Flow
Continuous control and Actor-Learner API (Reinforcement learning with TensorFlow Agents)
Reinforcement Learning for Non-Games TF-Agents (12.5)
pybullet Ant trained using TensorFlow Agents (slow motion)
TensorFlow from the ground up (ML Tech Talks)
Inside TensorFlow: Eager execution runtime
DQN from Scratch with TensorFlow 2 (Part 1)
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