def normalization_action(self):
if self.action_type == EnvType.DISCRETE_ACTION:
return only_continuous_normalizer(
list(range(self.state_dim, self.state_dim + self.action_dim)),
min_value=0,
max_value=1,
)
return only_continuous_normalizer(
list(range(self.state_dim, self.state_dim + self.action_dim)),
min_value=self.env.action_space.low,
max_value=self.env.action_space.high,
)
def normalization(self):
if self.img:
return None
else:
return only_continuous_normalizer(
list(range(self.state_dim)),
self.env.observation_space.low,
self.env.observation_space.high,
)
def normalization_action(self):
return only_continuous_normalizer(
list(range(self.num_states, self.num_states + self.num_actions)),
min_value=0,
max_value=1,
)
