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Removing done from the llapi doc #3810

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Apr 20, 2020
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Removing done from the llapi doc #3810

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8 changes: 0 additions & 8 deletions docs/Python-API.md
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Original file line number Diff line number Diff line change
Expand Up @@ -149,8 +149,6 @@ A `DecisionSteps` has the following fields :
`env.step()`).
- `reward` is a float vector of length batch size. Corresponds to the
rewards collected by each agent since the last simulation step.
- `done` is an array of booleans of length batch size. Is true if the
associated Agent was terminated during the last simulation step.
- `agent_id` is an int vector of length batch size containing unique
identifier for the corresponding Agent. This is used to track Agents
across simulation steps.
Expand All @@ -174,8 +172,6 @@ A `DecisionStep` has the following fields:
(Each array has one less dimension than the arrays in `DecisionSteps`)
- `reward` is a float. Corresponds to the rewards collected by the agent
since the last simulation step.
- `done` is a bool. Is true if the Agent was terminated during the last
simulation step.
- `agent_id` is an int and an unique identifier for the corresponding Agent.
- `action_mask` is an optional list of one dimensional array of booleans.
Only available in multi-discrete action space type.
Expand All @@ -197,8 +193,6 @@ A `TerminalSteps` has the following fields :
`env.step()`).
- `reward` is a float vector of length batch size. Corresponds to the
rewards collected by each agent since the last simulation step.
- `done` is an array of booleans of length batch size. Is true if the
associated Agent was terminated during the last simulation step.
- `agent_id` is an int vector of length batch size containing unique
identifier for the corresponding Agent. This is used to track Agents
across simulation steps.
Expand All @@ -219,8 +213,6 @@ A `TerminalStep` has the following fields:
(Each array has one less dimension than the arrays in `TerminalSteps`)
- `reward` is a float. Corresponds to the rewards collected by the agent
since the last simulation step.
- `done` is a bool. Is true if the Agent was terminated during the last
simulation step.
- `agent_id` is an int and an unique identifier for the corresponding Agent.
- `max_step` is a bool. Is true if the Agent reached its maximum number of
steps during the last simulation step.
Expand Down