# Module: tf_agents.environments.wrappers
|---|
| [ View source on GitHub](https://github.com/tensorflow/agents/blob/v0.19.0/tf_agents/environments/wrappers.py) |
Environment wrappers.
Wrappers in this module can be chained to change the overall behaviour of an
environment in common ways.
## Classes
[`class ActionClipWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/ActionClipWrapper): Wraps an environment and clips actions to spec before applying.
[`class ActionDiscretizeWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/ActionDiscretizeWrapper): Wraps an environment with continuous actions and discretizes them.
[`class ActionOffsetWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/ActionOffsetWrapper): Offsets actions to be zero-based.
[`class ActionRepeat`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/ActionRepeat): Repeates actions over n-steps while acummulating the received reward.
[`class ExtraDisabledActionsWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/wrappers/ExtraDisabledActionsWrapper): Adds extra unavailable actions.
[`class FixedLength`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/wrappers/FixedLength): Truncates long episodes and pads short episodes to have a fixed length.
[`class FlattenActionWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/wrappers/FlattenActionWrapper): Flattens the action.
[`class FlattenObservationsWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/FlattenObservationsWrapper): Wraps an environment and flattens nested multi-dimensional observations.
[`class GoalReplayEnvWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/GoalReplayEnvWrapper): Adds a goal to the observation, used for HER (Hindsight Experience Replay).
[`class HistoryWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/HistoryWrapper): Adds observation and action history to the environment's observations.
[`class ObservationFilterWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/ObservationFilterWrapper): Filters observations based on an array of indexes.
[`class OneHotActionWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/OneHotActionWrapper): Converts discrete action to one_hot format.
[`class PerformanceProfiler`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/PerformanceProfiler): End episodes after specified number of steps.
[`class PyEnvironmentBaseWrapper`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/PyEnvironmentBaseWrapper): PyEnvironment wrapper forwards calls to the given environment.
[`class RunStats`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/RunStats): Wrapper that accumulates run statistics as the environment iterates.
[`class TimeLimit`](https://www.tensorflow.org/agents/api_docs/python/tf_agents/environments/TimeLimit): End episodes after specified number of steps.
| ## Other Members ||
|---|---|
| absolute_import | Instance of `__future__._Feature` |
| division | Instance of `__future__._Feature` |
| print_function | Instance of `__future__._Feature` |