Saved in:
| Main Authors: | Zhou, Tianchen, Hairi, FNU, Yang, Haibo, Liu, Jia, Tong, Tian, Yang, Fan, Momma, Michinari, Gao, Yan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.03082 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
by: Hairi, Fnu, et al.
Published: (2025)
by: Hairi, Fnu, et al.
Published: (2025)
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
by: Liu, Zhuqing, et al.
Published: (2025)
by: Liu, Zhuqing, et al.
Published: (2025)
Federated Multi-Objective Learning
by: Yang, Haibo, et al.
Published: (2023)
by: Yang, Haibo, et al.
Published: (2023)
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
by: Zhang, Zhiyao, et al.
Published: (2025)
by: Zhang, Zhiyao, et al.
Published: (2025)
Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
by: Oh, Myeung Suk, et al.
Published: (2025)
by: Oh, Myeung Suk, et al.
Published: (2025)
Behavioral Feature Boosting via Substitute Relationships for E-commerce Search
by: Dong, Chaosheng, et al.
Published: (2026)
by: Dong, Chaosheng, et al.
Published: (2026)
Finite Time Analysis of Constrained Natural Critic-Actor Algorithm with Improved Sample Complexity
by: Panda, Prashansa, et al.
Published: (2025)
by: Panda, Prashansa, et al.
Published: (2025)
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023)
by: Yang, Tong, et al.
Published: (2023)
Finite-time Convergence Analysis of Actor-Critic with Evolving Reward
by: Hu, Rui, et al.
Published: (2025)
by: Hu, Rui, et al.
Published: (2025)
Actor-Critic Reinforcement Learning with Phased Actor
by: Wu, Ruofan, et al.
Published: (2024)
by: Wu, Ruofan, et al.
Published: (2024)
Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum
by: Kumar, Navdeep, et al.
Published: (2026)
by: Kumar, Navdeep, et al.
Published: (2026)
Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD update
by: Hairi, Fnu, et al.
Published: (2024)
by: Hairi, Fnu, et al.
Published: (2024)
Pretraining in Actor-Critic Reinforcement Learning for Robot Locomotion
by: Fan, Jiale, et al.
Published: (2025)
by: Fan, Jiale, et al.
Published: (2025)
DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
by: Ma, Xiaoteng, et al.
Published: (2020)
by: Ma, Xiaoteng, et al.
Published: (2020)
Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning
by: Humayoo, Mahammad, et al.
Published: (2018)
by: Humayoo, Mahammad, et al.
Published: (2018)
Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms
by: Panda, Prashansa, et al.
Published: (2023)
by: Panda, Prashansa, et al.
Published: (2023)
Adaptive Finite‐Time Optimal Control of Stochastic Nonlinear Systems via an Identifier‐Critic‐Actor Reinforcement Learning Algorithm: Application to Intelligent Ship Autopilot
by: Huanqing Wang, et al.
Published: (2025)
by: Huanqing Wang, et al.
Published: (2025)
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
by: Xu, Mingjing, et al.
Published: (2024)
by: Xu, Mingjing, et al.
Published: (2024)
On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
by: Farid, Ali Moltajaei, et al.
Published: (2024)
by: Farid, Ali Moltajaei, et al.
Published: (2024)
Multi-Actor Multi-Critic Deep Deterministic Reinforcement Learning with a Novel Q-Ensemble Method
by: Wu, Andy, et al.
Published: (2025)
by: Wu, Andy, et al.
Published: (2025)
On the Convergence of Single-Timescale Actor-Critic
by: Kumar, Navdeep, et al.
Published: (2024)
by: Kumar, Navdeep, et al.
Published: (2024)
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning
by: Kang, Yan, et al.
Published: (2024)
by: Kang, Yan, et al.
Published: (2024)
Actor-Critics Can Achieve Optimal Sample Efficiency
by: Tan, Kevin, et al.
Published: (2025)
by: Tan, Kevin, et al.
Published: (2025)
A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence
by: Wang, Kexuan, et al.
Published: (2023)
by: Wang, Kexuan, et al.
Published: (2023)
Parallel Heuristic Search as Inference for Actor-Critic Reinforcement Learning Models
by: Yang, Hanlan, et al.
Published: (2025)
by: Yang, Hanlan, et al.
Published: (2025)
Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
Jackpot: Optimal Budgeted Rejection Sampling for Extreme Actor-Policy Mismatch Reinforcement Learning
by: Chen, Zhuoming, et al.
Published: (2026)
by: Chen, Zhuoming, et al.
Published: (2026)
Die Diachronie der französischen Progressivperiphrase
by: Momma, Lydia
Published: (2024)
by: Momma, Lydia
Published: (2024)
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
by: Zhou, Wenxuan, et al.
Published: (2023)
by: Zhou, Wenxuan, et al.
Published: (2023)
Quantum Advantage Actor-Critic for Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Flow Actor-Critic for Offline Reinforcement Learning
by: Chae, Jongseong, et al.
Published: (2026)
by: Chae, Jongseong, et al.
Published: (2026)
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
by: Ganesh, Swetha, et al.
Published: (2024)
by: Ganesh, Swetha, et al.
Published: (2024)
Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
by: Yang, Tong, et al.
Published: (2025)
by: Yang, Tong, et al.
Published: (2025)
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes
by: Zeng, Sihan, et al.
Published: (2021)
by: Zeng, Sihan, et al.
Published: (2021)
Common-Individual Embedding for Dynamic Networks with Temporal Group Structure
by: Bai, Hairi, et al.
Published: (2025)
by: Bai, Hairi, et al.
Published: (2025)
Self-Supervised Learning for Anomaly Detection in Brain Mri Scans
by: FNU Sudhakar Abhijeet
Published: (2026)
by: FNU Sudhakar Abhijeet
Published: (2026)
PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems
by: Yang, Mingdai, et al.
Published: (2025)
by: Yang, Mingdai, et al.
Published: (2025)
Solving Time-Continuous Stochastic Optimal Control Problems: Algorithm Design and Convergence Analysis of Actor-Critic Flow
by: Zhou, Mo, et al.
Published: (2024)
by: Zhou, Mo, et al.
Published: (2024)
Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations
by: Woo, Jiin, et al.
Published: (2025)
by: Woo, Jiin, et al.
Published: (2025)
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
by: Qiu, Shuang, et al.
Published: (2024)
by: Qiu, Shuang, et al.
Published: (2024)
Similar Items
-
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
by: Hairi, Fnu, et al.
Published: (2025) -
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
by: Liu, Zhuqing, et al.
Published: (2025) -
Federated Multi-Objective Learning
by: Yang, Haibo, et al.
Published: (2023) -
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
by: Zhang, Zhiyao, et al.
Published: (2025) -
Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
by: Oh, Myeung Suk, et al.
Published: (2025)