Apical 2 Chamber

Apical 2 Chamber, in the context of the provided abstracts, appears to primarily refer to the Advantage Actor-Critic (A2C) algorithm, a prominent deep reinforcement learning method. Current research focuses on improving A2C's efficiency and applicability, exploring variations like Latent IA2C for decentralized multi-agent systems and incorporating it into multi-objective frameworks. These advancements aim to enhance A2C's performance in complex scenarios, such as human-AI collaboration and multi-task learning, impacting fields ranging from game AI to more sophisticated decision-making systems.

Papers

July 19, 2024

A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C
Neil De La Fuente, Daniel A. Vidal Guerra
Deep Reinforcement Learning Comparative Study Proximal Policy Optimization Deep Q Network Policy Optimization Dynamic Game Apical 2 Chamber

January 25, 2024

A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams
Shahroz Tariq, Mohan Baruwal Chhetri, Surya Nepal, Cecile Paris
Artificial Intelligence Decision Making Human Ai Collaboration Human AI Team Collaborative Decision Apical 2 Chamber

May 9, 2023

Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Keyang He, Prashant Doshi, Bikramjit Banerjee
Latent Representation Decentralized Training Advantage Actor Critic Open Multi Agent System Apical 2 Chamber

February 8, 2023

A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis
Mohsen Amidzadeh
Convergence Analysis Objective Function Multi Objective Reinforcement Learning Single Objective Apical 2 Chamber

July 13, 2022

Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography
Alberto Gomez, Mihaela Porumb, Angela Mumith, Thierry Judge, Shan Gao, Woo-Jin Cho Kim, Jorge Oliveira, Agis Chartsias
Segmentation Mask Segmentation Method Inadequate Contour Encoding Landmark Localization Apical 2 Chamber Dimensional Echocardiography

May 18, 2022

A2C is a special case of PPO
Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa
Proximal Policy Optimization Policy Optimization Game AI Deep Reinforcement Learning Algorithm Advantage Actor Critic Special Case Pseudo Code Apical 2 Chamber

January 15, 2022

Recursive Least Squares Advantage Actor-Critic Algorithms
Yuan Wang, Chunyuan Zhang, Tianzong Yu, Meng Ma
Deep Reinforcement Learning Least Square Actor Critic Algorithm Recursive Algorithm Traditional Reinforcement Learning Advantage Actor Critic Apical 2 Chamber