End-to-end Computation Graphs for Reinforcement Learning

reinforce.io

'This blogpost introduces version 0.3 of the TensorForce reinforcement learning (RL) library, and motivates major design changes. Development was guided by the aim to provide a better interface and implementation for optimization modules, and later execution. More generally, with version 0.3, we are taking a big step towards RL models as pure TensorFlow objects, including all control-flow.'

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