gym_gz_environments.randomizers#
gym_gz_environments.randomizers.cartpole#
- class gym_gz_environments.randomizers.cartpole.CartpoleEnvRandomizer(env, num_physics_rollouts=0)#
Bases:
GazeboEnvRandomizer
,CartpoleRandomizersMixin
Concrete implementation of cartpole environments randomization.
- class gym_gz_environments.randomizers.cartpole.CartpoleRandomizersMixin(randomize_physics_after_rollouts=0)#
Bases:
TaskRandomizer
,PhysicsRandomizer
,ModelDescriptionRandomizer
,ABC
Mixin that collects the implementation of task, model and physics randomizations for cartpole environments.
- get_engine()#
Return the physics engine to use for the rollout.
- Returns:
The desired physics engine to set in the world.
- randomize_model_description(task, **kwargs)#
Randomize the model description.
- Parameters:
task () – The task that operates on the model description to randomize.
- Return type:
- Returns:
A string with the randomized model description.
- randomize_physics(task, **kwargs)#
Method that insert and configures the physics of a Task’s world.
By default this method loads a plugin that uses DART with no randomizations. Randomizing physics engine parameters or changing physics engine backend could be done by redefining this method and passing it to
GazeboRuntime
.- Parameters:
task () – A task containing a world object without physics.
- Return type:
- randomize_task(task, **kwargs)#
Randomize a
Task
instance.- Parameters:
task () – the task to randomize.
Note
Note that each task has a
world
property that provides access to the simulatedscenario.bindings.core.World
.- Return type:
gym_gz_environments.randomizers.cartpole_no_rand#
- class gym_gz_environments.randomizers.cartpole_no_rand.CartpoleEnvNoRandomizations(env)#
Bases:
GazeboEnvRandomizer
Dummy environment randomizer for cartpole tasks.
Check
CartpoleRandomizersMixin
for an example that randomizes the task, the physics, and the model.- randomize_task(task, **kwargs)#
Prepare the scene for cartpole tasks. It simply removes the cartpole of the previous rollout and inserts a new one in the default state. Then, the active Task will reset the state of the cartpole depending on the implemented decision-making logic. :rtype: