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Wrappers in this module can be chained to change the overall behaviour of an environment in common ways.
class ActionClipWrapper: Wraps an environment and clips actions to spec before applying.
class ActionDiscretizeWrapper: Wraps an environment with continuous actions and discretizes them.
class ActionOffsetWrapper: Offsets actions to be zero-based.
class ActionRepeat: Repeates actions over n-steps while acummulating the received reward.
class FlattenObservationsWrapper: Wraps an environment and flattens nested multi-dimensional observations.
class GoalReplayEnvWrapper: Adds a goal to the observation, used for HER (Hindsight Experience Replay).
class HistoryWrapper: Adds observation and action history to the environment's observations.
class ObservationFilterWrapper: Filters observations based on an array of indexes.
class OneHotActionWrapper: Converts discrete action to one_hot format.
class PerformanceProfiler: End episodes after specified number of steps.
class PyEnvironmentBaseWrapper: PyEnvironment wrapper forwards calls to the given environment.
class RunStats: Wrapper that accumulates run statistics as the environment iterates.
class TimeLimit: End episodes after specified number of steps.