Question about portfolio optimization steps

[jaew9801]

"In the _gradient_ascent method located in portfolio_optimization / algorithms.py, why isn't the reward value used when calculating the policy_loss? And which reinforcement learning algorithm does this method of calculating policy_loss belong to? For example, does it relate to algorithms like PPO, DDPG, etc.?"