Code DAO
Code DAO
Nov 28, 2021 · Artificial Intelligence

Adapting Soft Actor‑Critic for Discrete Action Spaces in Deep Reinforcement Learning

This article explains how to modify the Soft Actor‑Critic (SAC) algorithm—originally designed for continuous actions—to work with discrete action environments, presents the required changes to the actor and critic loss functions, provides a full PyTorch implementation, and evaluates the method on the CartPole‑v1 benchmark.

CartPoleDiscrete ActionsEntropy Regularization
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Adapting Soft Actor‑Critic for Discrete Action Spaces in Deep Reinforcement Learning