Tag Archives: Soft Actor-Critic (SAC)
Building a Robust Soft Actor-Critic (SAC) Agent for LunarLanderContinuous-v2
Leveraging Prioritized Experience Replay, Layer Normalization, Gradient Clipping, and More Introduction Deep Reinforcement Learning (DRL) has revolutionized how agents learn complex control tasks. In this article, we explore a comprehensive implementation of the Soft Actor-Critic (SAC) algorithm applied to OpenAI Gym’s LunarLanderContinuous-v2 environment. Our implementation goes beyond a simple example by incorporating advanced improvements such as: This…