Poster "actor-critic methods" Papers
11 papers found
Conference
ADDQ: Adaptive distributional double Q-learning
Leif Döring, Benedikt Wille, Maximilian Birr et al.
ICML 2025arXiv:2506.19478
1
citations
Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
Swetha Ganesh, Vaneet Aggarwal
NEURIPS 2025arXiv:2505.19986
3
citations
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control
Georgios Papoudakis, Thomas Coste, Jianye Hao et al.
NEURIPS 2025arXiv:2509.01720
${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Dingyang Chen, Qi Zhang
ICML 2024arXiv:2308.11842
9
citations
Langevin Policy for Safe Reinforcement Learning
Fenghao Lei, Long Yang, Shiting Wen et al.
ICML 2024
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
Amutheezan Sivagnanam, Ava Pettet, Hunter Lee et al.
ICML 2024arXiv:2405.13205
7
citations
On the Second-Order Convergence of Biased Policy Gradient Algorithms
Siqiao Mu, Diego Klabjan
ICML 2024arXiv:2311.02546
4
citations
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
Michal Nauman, Michał Bortkiewicz, Piotr Milos et al.
ICML 2024arXiv:2403.00514
41
citations
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
Luca Grillotti, Maxence Faldor, Borja G. León et al.
ICML 2024arXiv:2403.09930
12
citations
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Tianying Ji, Yu Luo, Fuchun Sun et al.
ICML 2024arXiv:2306.02865
21
citations
Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish et al.
ICML 2024arXiv:2405.19014
5
citations