algorithms/common_funcs_scm.py
def compute_curiosity_reward_weight(self):
        """ Computes multiplier for social_curiosity reward based on training steps
        taken and schedule parameters.
        """
        weight = np.interp(
            self.timestep,
            self.curiosity_reward_schedule_steps,
            self.curiosity_reward_schedule_weights,
        )
        return weight * self.baseline_curiosity_reward_weight
 Computes multiplier for social_curiosity reward based on training steps
        taken and schedule parameters.
        
Computes multiplier for social_curiosity reward based on training steps
taken and schedule parameters.
Computes multiplier for social_curiosity reward based on training steps taken and schedule parameters .
def compute_curiosity_reward_weight(self):
        weight = np.interp(
            self.timestep,
            self.curiosity_reward_schedule_steps,
            self.curiosity_reward_schedule_weights,
        )
        return weight * self.baseline_curiosity_reward_weight
def compute_curiosity_reward_weight ( self ) : weight = np . interp ( self . timestep , self . curiosity_reward_schedule_steps , self . curiosity_reward_schedule_weights , ) return weight * self . baseline_curiosity_reward_weight
Computes multiplier for social_curiosity reward based on training steps
taken and schedule parameters.
Computes multiplier for social_curiosity reward based on training steps taken and schedule parameters .
""" Computes multiplier for social_curiosity reward based on training steps
        taken and schedule parameters.
        """
self