Actor-Critics Can Achieve Optimal Sample Efficiency
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Kevin, Fan, Wei, Wei, Yuting |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
by: Obando-Ceron, Johan, et al.
Published: (2025)
by: Obando-Ceron, Johan, 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)
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
by: Gaur, Mudit, et al.
Published: (2024)
by: Gaur, Mudit, et al.
Published: (2024)
Revisiting Discrete Soft Actor-Critic
by: Zhou, Haibin, et al.
Published: (2022)
by: Zhou, Haibin, et al.
Published: (2022)
Functional Critics Are Essential for Actor-Critic: From Off-Policy Stability to Efficient Exploration
by: Bai, Qinxun, et al.
Published: (2025)
by: Bai, Qinxun, et al.
Published: (2025)
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 Constrained Natural Critic-Actor Algorithm with Improved Sample Complexity
by: Panda, Prashansa, et al.
Published: (2025)
by: Panda, Prashansa, et al.
Published: (2025)
Bidirectional Soft Actor-Critic: Leveraging Forward and Reverse KL Divergence for Efficient Reinforcement Learning
by: Zhang, Yixian, et al.
Published: (2025)
by: Zhang, Yixian, et al.
Published: (2025)
Average-Reward Soft Actor-Critic
by: Adamczyk, Jacob, et al.
Published: (2025)
by: Adamczyk, Jacob, et al.
Published: (2025)
Value Improved Actor Critic Algorithms
by: Oren, Yaniv, et al.
Published: (2024)
by: Oren, Yaniv, et al.
Published: (2024)
Diffusion Actor-Critic with Entropy Regulator
by: Wang, Yinuo, et al.
Published: (2024)
by: Wang, Yinuo, et al.
Published: (2024)
Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning
by: Dong, Jinzong, et al.
Published: (2026)
by: Dong, Jinzong, et al.
Published: (2026)
Rethinking Soft Actor-Critic in High-Dimensional Action Spaces: The Cost of Ignoring Distribution Shift
by: Chen, Yanjun, et al.
Published: (2024)
by: Chen, Yanjun, et al.
Published: (2024)
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
by: Luo, Yu, et al.
Published: (2024)
by: Luo, Yu, et al.
Published: (2024)
A Finite-Sample Analysis of an Actor-Critic Algorithm for Mean-Variance Optimization in a Discounted MDP
by: Sangadi, Tejaram, et al.
Published: (2024)
by: Sangadi, Tejaram, et al.
Published: (2024)
Distributional Soft Actor-Critic with Diffusion Policy
by: Liu, Tong, et al.
Published: (2025)
by: Liu, Tong, et al.
Published: (2025)
Flow Actor-Critic for Offline Reinforcement Learning
by: Chae, Jongseong, et al.
Published: (2026)
by: Chae, Jongseong, et al.
Published: (2026)
Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning Services
by: Tan, Renxuan, et al.
Published: (2025)
by: Tan, Renxuan, et al.
Published: (2025)
Relational Object-Centric Actor-Critic
by: Ugadiarov, Leonid, et al.
Published: (2023)
by: Ugadiarov, Leonid, et al.
Published: (2023)
SACn: Soft Actor-Critic with n-step Returns
by: Łyskawa, Jakub, et al.
Published: (2025)
by: Łyskawa, Jakub, et al.
Published: (2025)
Scalable Neighborhood-Based Multi-Agent Actor-Critic
by: Goppelsroeder, Tim, et al.
Published: (2026)
by: Goppelsroeder, Tim, et al.
Published: (2026)
Revisiting Mixture Policies in Entropy-Regularized Actor-Critic
by: He, Jiamin, et al.
Published: (2026)
by: He, Jiamin, et al.
Published: (2026)
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)
Dissecting Discrete Soft Actor-Critic: Limitations and Principled Alternatives
by: Asad, Reza, et al.
Published: (2025)
by: Asad, Reza, et al.
Published: (2025)
Finite-time Convergence Analysis of Actor-Critic with Evolving Reward
by: Hu, Rui, et al.
Published: (2025)
by: Hu, Rui, et al.
Published: (2025)
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
by: Garcin, Samuel, et al.
Published: (2025)
by: Garcin, Samuel, et al.
Published: (2025)
Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning
by: Küçükoğlu, Burcu, et al.
Published: (2025)
by: Küçükoğlu, Burcu, et al.
Published: (2025)
Broad Critic Deep Actor Reinforcement Learning for Continuous Control
by: Thalagala, Shiron, et al.
Published: (2024)
by: Thalagala, Shiron, et al.
Published: (2024)
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
by: Liu, Shunyu, et al.
Published: (2022)
by: Liu, Shunyu, et al.
Published: (2022)
Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic
by: Lee, Jeong Woon, et al.
Published: (2026)
by: Lee, Jeong Woon, et al.
Published: (2026)
Heavy-Ball Momentum Accelerated Actor-Critic With Function Approximation
by: Dong, Yanjie, et al.
Published: (2024)
by: Dong, Yanjie, et al.
Published: (2024)
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs
by: Tan, Kevin, et al.
Published: (2024)
by: Tan, Kevin, et al.
Published: (2024)
Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization
by: Sen, Sayambhu, et al.
Published: (2025)
by: Sen, Sayambhu, et al.
Published: (2025)
SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online Transfer
by: de Lara, Nathan Samuel, et al.
Published: (2026)
by: de Lara, Nathan Samuel, et al.
Published: (2026)
Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs
by: Kohler, Hector, et al.
Published: (2023)
by: Kohler, Hector, et al.
Published: (2023)
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)
DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
by: Ma, Xiaoteng, et al.
Published: (2020)
by: Ma, Xiaoteng, et al.
Published: (2020)
Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning
by: Chen, Haohui, et al.
Published: (2024)
by: Chen, Haohui, et al.
Published: (2024)
Quantum Advantage Actor-Critic for Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Goal Recognition using Actor-Critic Optimization
by: Nageris, Ben, et al.
Published: (2024)
by: Nageris, Ben, et al.
Published: (2024)
Similar Items
-
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
by: Obando-Ceron, Johan, et al.
Published: (2025) -
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023) -
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
by: Gaur, Mudit, et al.
Published: (2024) -
Revisiting Discrete Soft Actor-Critic
by: Zhou, Haibin, et al.
Published: (2022) -
Functional Critics Are Essential for Actor-Critic: From Off-Policy Stability to Efficient Exploration
by: Bai, Qinxun, et al.
Published: (2025)