rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils

Contents

`rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils`#

1. Module Contents#

1.1. Functions#

`get_property_setter_map`
`get_property_getter_map`
`get_default_setter_args`
`generate_random_samples`
`get_bucketed_val`
`apply_random_samples`	@params: prop: property we want to randomise og_prop: the original property and its value attr: which particular attribute we want to randomise e.g. damping, stiffness attr_randomization_params: the attribute randomisation meta-data e.g. distr, range, schedule curr_gym_step_count: gym steps so far
`check_buckets`

1.2. API#

rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils.get_property_setter_map(gym)#

rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils.get_property_getter_map(gym)#

rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils.get_default_setter_args(gym)#

rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils.generate_random_samples(attr_randomization_params, shape, curr_gym_step_count, extern_sample=None)#

rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils.get_bucketed_val(new_prop_val, attr_randomization_params)#

rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils.apply_random_samples(prop, og_prop, attr, attr_randomization_params, curr_gym_step_count, extern_sample=None)#

@params:: prop: property we want to randomise og_prop: the original property and its value attr: which particular attribute we want to randomise e.g. damping, stiffness attr_randomization_params: the attribute randomisation meta-data e.g. distr, range, schedule curr_gym_step_count: gym steps so far

rofunc.learning.RofuncRL.tasks.isaacgymenv.base.dr_utils.check_buckets(gym, envs, dr_params)#