def get_brain_spec(conf):
"""
Returns the brain specification corresponding to the
given config.
:param conf:
:return:
"""
return default_neural_net(conf.brain_mutation_epsilon)
def get_brain_spec(conf):
"""
Returns the brain specification corresponding to the
given config.
:param conf:
:return:
"""
return default_neural_net(conf.brain_mutation_epsilon)
arity=1,
outputs=1,
# Add color parameters to this part
params=color_params
),
"Hinge": PartSpec(
body_part=PassiveHinge,
arity=2,
params=color_params + [ParamSpec("length", min_value=0.1, max_value=1, default=0.5)]
)
}
)
# For the brain, we use the default neural network
brain_spec = default_neural_net()
# Specify a body generator for the specification
body_gen = BodyGenerator(
body_spec,
# List all parts that can serve as the robot root
root_parts=["Core"],
# List all parts that can be attached
attach_parts=["Wheel", "Hinge"],
# Set the maximum number of used parts. The
# actual number will be determined by a
# random pick and some input / output constraints.
max_parts=15,
PartSpec(
body_part=Wheel,
arity=1,
outputs=1,
# Add color parameters to this part
params=color_params),
"Hinge":
PartSpec(body_part=PassiveHinge,
arity=2,
params=color_params +
[ParamSpec("length", min_value=0.1, max_value=1, default=0.5)])
})
# For the brain, we use the default neural network
brain_spec = default_neural_net()
# Specify a body generator for the specification
body_gen = BodyGenerator(
body_spec,
# List all parts that can serve as the robot root
root_parts=["Core"],
# List all parts that can be attached
attach_parts=["Wheel", "Hinge"],
# Set the maximum number of used parts. The
# actual number will be determined by a
# random pick and some input / output constraints.
max_parts=15,
