Imagen de Portada

Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Donghe, Peng, Yubin, Zheng, Tengjie, Wang, Han, Qu, Chaoran, Cheng, Lin
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Error Distribution Smoothing:Advancing Low-Dimensional Imbalanced Regression
por: Chen, Donghe, et al.
Publicado: (2025)

Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning
por: Chen, Haohui, et al.
Publicado: (2024)

Flow Actor-Critic for Offline Reinforcement Learning
por: Chae, Jongseong, et al.
Publicado: (2026)

Broad Critic Deep Actor Reinforcement Learning for Continuous Control
por: Thalagala, Shiron, et al.
Publicado: (2024)

Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning
por: Humayoo, Mahammad, et al.
Publicado: (2018)

Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control
por: Alzorgan, Hazim, et al.
Publicado: (2025)

DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
por: Ma, Xiaoteng, et al.
Publicado: (2020)

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
por: Garcin, Samuel, et al.
Publicado: (2025)

Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning
por: Küçükoğlu, Burcu, et al.
Publicado: (2025)

Quantum Advantage Actor-Critic for Reinforcement Learning
por: Kölle, Michael, et al.
Publicado: (2024)

Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning
por: Dong, Jinzong, et al.
Publicado: (2026)

Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
por: Mahran, Youssef, et al.
Publicado: (2025)

Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic
por: Vo, Thanh Vinh, et al.
Publicado: (2025)

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
por: Yang, Tong, et al.
Publicado: (2023)

Offline Actor-Critic Reinforcement Learning Scales to Large Models
por: Springenberg, Jost Tobias, et al.
Publicado: (2024)

Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
por: Xu, Yang, et al.
Publicado: (2025)

Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
por: Deproost, Senne, et al.
Publicado: (2024)

Contraction Actor-Critic: Contraction Metric-Guided Reinforcement Learning for Robust Path Tracking
por: Cho, Minjae, et al.
Publicado: (2025)

Training Free Guided Flow Matching with Optimal Control
por: Wang, Luran, et al.
Publicado: (2024)

DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
por: Cui, Mingxuan, et al.
Publicado: (2025)

Bidirectional Soft Actor-Critic: Leveraging Forward and Reverse KL Divergence for Efficient Reinforcement Learning
por: Zhang, Yixian, et al.
Publicado: (2025)

Revisiting Discrete Soft Actor-Critic
por: Zhou, Haibin, et al.
Publicado: (2022)

${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
por: Chen, Dingyang, et al.
Publicado: (2023)

Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
por: Choi, Yunho, et al.
Publicado: (2026)

Functional Critics Are Essential for Actor-Critic: From Off-Policy Stability to Efficient Exploration
por: Bai, Qinxun, et al.
Publicado: (2025)

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
por: Li, Yuanpeng, et al.
Publicado: (2026)

Comparative Analysis of Parameterized Action Actor-Critic Reinforcement Learning Algorithms for Web Search Match Plan Generation
por: Bapoo, Ubayd, et al.
Publicado: (2025)

Distributional Soft Actor-Critic with Diffusion Policy
por: Liu, Tong, et al.
Publicado: (2025)

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
por: Peng, Zengqi, et al.
Publicado: (2025)

Value Improved Actor Critic Algorithms
por: Oren, Yaniv, et al.
Publicado: (2024)

Diffusion Actor-Critic with Entropy Regulator
por: Wang, Yinuo, et al.
Publicado: (2024)

Average-Reward Soft Actor-Critic
por: Adamczyk, Jacob, et al.
Publicado: (2025)

Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
por: Chen, Donghe, et al.
Publicado: (2025)

Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning
por: Chen, Ding, et al.
Publicado: (2024)

Finite-time Convergence Analysis of Actor-Critic with Evolving Reward
por: Hu, Rui, et al.
Publicado: (2025)

Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs
por: Kohler, Hector, et al.
Publicado: (2023)

Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization
por: Sen, Sayambhu, et al.
Publicado: (2025)

Neighboring State-based Exploration for Reinforcement Learning
por: Li, Yu-Teng, et al.
Publicado: (2022)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
por: Mao, Yixiu, et al.
Publicado: (2024)

A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering
por: Qi, Qihan, et al.
Publicado: (2024)