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16 changes: 8 additions & 8 deletions docs/Glossary.md
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- **Agent** - Unity Component which produces observations and takes actions in
the environment. Agents actions are determined by decisions produced by a
Policy.
- **Policy** - The decision making mechanism, typically a neural network model.
- **Decision** - The specification produced by a Policy 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.
- **Experience** - Corresponds to a tuple of [Agent observations, actions,
rewards] of a single Agent obtained after a Step.
- **External Coordinator** - ML-Agents class responsible for communication with
outside processes (in this case, the Python API).
- **FixedUpdate** - Unity method called each time 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)
- **Policy** - Function for producing decisions from observations.
- **Policy** - The decision making mechanism for producing decisions from
observations, typically a neural network model.
- **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 an atomic change of the engine that happens between
Agent decisions.
- **Experience** - Corresponds to a tuple of [Agent observations, actions,
rewards] of a single Agent obtained after a Step.
- **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 group of
Agents.
- **Update** - Unity function called each time a frame is rendered. ML-Agents
logic should not be placed here.