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TensorFlow Agents 1.1.0
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@danijar danijar released this 04 Oct 15:49
· 58 commits to master since this release
v1.1.0
9d6d8b5

Features:

  • Policy networks are now defined as functions mapping sequences of observations to sequences of actions. As a result, feed forward policies are faster now, and memory based agents are easier to implement. Previously, networks were restricted to be defined as RNNCells.
  • All functions of the agent interface receive a tensor of agent indices now. This adds the flexibility to process observations in smaller batches. Previously, perform() and experience() was defined on data from all the environments.
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