Reinforcement Learning

Vanilla Actor-Critic (VAC)

We have previously discussed the Actor Critic and Soft Actor Critic (SAC) frameworks. Today, I would like to revisit its most fundamental form in order to build a deeper understanding and connect it

Advantage Actor Critic (A2C)

It seems we've overlooked an important method in policy-based approaches: the Actor-Critic algorithm. In fact, we've already discussed a more advanced variant built upon it— Soft Actor

PPO-NES

Today, we will explore Natural Evolution Strategies (NES) and investigate how they can be combined with Proximal Policy Optimization (PPO)  to potentially enhance its performance. To evaluate the effectiveness of this approach, we

Soft Actor Critic (SAC)

In the previous post, we discussed Proximal Policy Optimization (PPO) and its strengths, which have made it a popular choice in recent years. However, as an on-policy method, PPO suffers from a