Distributional Soft Actor Critic
id:
distributional-soft-actor-critic-196-11808161
title:
Distributional Soft Actor Critic
text:
Distributional Soft Actor Critic (DSAC) is a suite of model-free off-policy reinforcement learning algorithms, tailored for learning decision-making or control policies in complex systems with continuous action spaces. Distinct from traditional methods that focus solely on expected returns, DSAC algorithms are designed to learn a Gaussian distribution over stochastic returns, called value distribution. This focus on Gaussian value distribution learning notably diminishes value overestimations, w
brand slug:
wiki
category slug:
encyclopedia
description:
Suite of reinforcement learning algorithms
original url:
https://en.wikipedia.org/wiki/Distributional_Soft_Actor_Critic
date created:
date modified:
2024-01-01T03:14:18Z
main entity:
{"identifier":"Q124022573","url":"https://www.wikidata.org/entity/Q124022573"}
image:
fields total:
13
integrity:
14