[Deepmind]Open sourcing TRFL: a library of reinforcement learning building blocks - Overclock.net - An Overclocking Community

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[Deepmind]Open sourcing TRFL: a library of reinforcement learning building blocks

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post #1 of 2 (permalink) Old 10-21-2018, 01:51 AM - Thread Starter
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[Deepmind]Open sourcing TRFL: a library of reinforcement learning building blocks

Today we are open sourcing a new library of useful building blocks for writing reinforcement learning (RL) agents in TensorFlow. Named TRFL (pronounced ‘truffle’), it represents a collection of key algorithmic components that we have used internally for a large number of our most successful agents such as DQN, DDPG and the Importance Weighted Actor Learner Architecture.

A typical deep reinforcement learning agent consists of a large number of interacting components: at the very least, these include the environment and some deep network representing values or policies, but they often also include components such as a learned model of the environment, pseudo-reward functions or a replay system.

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post #2 of 2 (permalink) Old 10-21-2018, 06:55 PM
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Interesting, might be time to have a play with some machine learning
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