Image de couverture de livre

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Tianchen, Hairi, FNU, Yang, Haibo, Liu, Jia, Tong, Tian, Yang, Fan, Momma, Michinari, Gao, Yan
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
par: Hairi, Fnu, et autres
Publié: (2025)

STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
par: Liu, Zhuqing, et autres
Publié: (2025)

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
par: Zhang, Zhiyao, et autres
Publié: (2025)

Federated Multi-Objective Learning
par: Yang, Haibo, et autres
Publié: (2023)

Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
par: Oh, Myeung Suk, et autres
Publié: (2025)

Behavioral Feature Boosting via Substitute Relationships for E-commerce Search
par: Dong, Chaosheng, et autres
Publié: (2026)

Finite Time Analysis of Constrained Natural Critic-Actor Algorithm with Improved Sample Complexity
par: Panda, Prashansa, et autres
Publié: (2025)

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
par: Yang, Tong, et autres
Publié: (2023)

Finite-time Convergence Analysis of Actor-Critic with Evolving Reward
par: Hu, Rui, et autres
Publié: (2025)

Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum
par: Kumar, Navdeep, et autres
Publié: (2026)

Actor-Critic Reinforcement Learning with Phased Actor
par: Wu, Ruofan, et autres
Publié: (2024)

Pretraining in Actor-Critic Reinforcement Learning for Robot Locomotion
par: Fan, Jiale, et autres
Publié: (2025)

Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning
par: Humayoo, Mahammad, et autres
Publié: (2018)

DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
par: Ma, Xiaoteng, et autres
Publié: (2020)

Adaptive Finite‐Time Optimal Control of Stochastic Nonlinear Systems via an Identifier‐Critic‐Actor Reinforcement Learning Algorithm: Application to Intelligent Ship Autopilot
par: Huanqing Wang, et autres
Publié: (2025)

Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms
par: Panda, Prashansa, et autres
Publié: (2023)

Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD update
par: Hairi, Fnu, et autres
Publié: (2024)

On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
par: Farid, Ali Moltajaei, et autres
Publié: (2024)

Multi-Actor Multi-Critic Deep Deterministic Reinforcement Learning with a Novel Q-Ensemble Method
par: Wu, Andy, et autres
Publié: (2025)

PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
par: Xu, Mingjing, et autres
Publié: (2024)

On the Convergence of Single-Timescale Actor-Critic
par: Kumar, Navdeep, et autres
Publié: (2024)

A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence
par: Wang, Kexuan, et autres
Publié: (2023)

Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning
par: Kang, Yan, et autres
Publié: (2024)

Actor-Critics Can Achieve Optimal Sample Efficiency
par: Tan, Kevin, et autres
Publié: (2025)

Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
par: Xu, Yang, et autres
Publié: (2025)

Parallel Heuristic Search as Inference for Actor-Critic Reinforcement Learning Models
par: Yang, Hanlan, et autres
Publié: (2025)

Jackpot: Optimal Budgeted Rejection Sampling for Extreme Actor-Policy Mismatch Reinforcement Learning
par: Chen, Zhuoming, et autres
Publié: (2026)

Quantum Advantage Actor-Critic for Reinforcement Learning
par: Kölle, Michael, et autres
Publié: (2024)

Flow Actor-Critic for Offline Reinforcement Learning
par: Chae, Jongseong, et autres
Publié: (2026)

HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
par: Zhou, Wenxuan, et autres
Publié: (2023)

A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
par: Ganesh, Swetha, et autres
Publié: (2024)

Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes
par: Zeng, Sihan, et autres
Publié: (2021)

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
par: Yang, Tong, et autres
Publié: (2025)

Solving Time-Continuous Stochastic Optimal Control Problems: Algorithm Design and Convergence Analysis of Actor-Critic Flow
par: Zhou, Mo, et autres
Publié: (2024)

Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
par: Qiu, Shuang, et autres
Publié: (2024)

Benchmarking Offline Multi-Objective Reinforcement Learning in Critical Care
par: Bansal, Aryaman, et autres
Publié: (2025)

Die Diachronie der französischen Progressivperiphrase
par: Momma, Lydia
Publié: (2024)

Actor-Critic or Critic-Actor? A Tale of Two Time Scales
par: Bhatnagar, Shalabh, et autres
Publié: (2022)

Actor-Critic with Active Importance Sampling
par: Molaei, Majid, et autres
Publié: (2026)

Preference-based Multi-Objective Reinforcement Learning
par: Mu, Ni, et autres
Publié: (2025)