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docs/Glossary.md


# ML-Agents Glossary
**Work In Progress**
* **Academy** - Unity Component which controls timing, reset, and
training/inference settings of the environment.
* **Action** - The carrying-out of a decision on the part of an
agent within the environment.
* **Agent** - Unity Component which produces observations and
takes actions in the environment. Agents actions are determined
by decisions produced by a linked Brain.
* **Brain** - Unity Component which makes decisions for the agents
linked to it.
* **Decision** - The specification produced by a Brain for an action
to be carried out given an observation.
* **Editor** - The Unity Editor, which may include any pane
(e.g. Hierarchy, Scene, Inspector).
* **Environment** - The Unity scene which contains Agents, Academy,
and Brains.
* **FixedUpdate** - Unity method called each time the the game engine
is stepped. ML-Agents logic should be placed here.
* **Frame** - An instance of rendering the main camera for the
display. Corresponds to each `Update` call of the game engine.
* **Observation** - Partial information describing the state of the
environment available to a given agent. (e.g. Vector, Visual, Text)
* **Policy** - Function for producing decisions from observations.
* **Reward** - Signal provided at every step used to indicate
desirability of an agent’s action within the current state
of the environment.
* **State** - The underlying properties of the environment
(including all agents within it) at a given time.
* **Step** - Corresponds to each `FixedUpdate` call of the game engine.
Is the smallest atomic change to the state possible.
* **Update** - Unity function called each time a frame is rendered.
ML-Agents logic should not be placed here.
* **External Coordinator** - ML-Agents class responsible for
communication with outside processes (in this case, the Python API).
* **Trainer** - Python class which is responsible for training a given
external brain. Contains TensorFlow graph which makes decisions
for external brain.
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