Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games
Fuente:
arXiv
Saved in:
| Main Authors: | Yongacoglu, Bora, Arslan, Gürdal, Yüksel, Serdar |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Paths to Equilibrium in Games
by: Yongacoglu, Bora, et al.
Published: (2024)
by: Yongacoglu, Bora, et al.
Published: (2024)
Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity
by: Yongacoglu, Bora, et al.
Published: (2022)
by: Yongacoglu, Bora, et al.
Published: (2022)
Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
by: Altabaa, Awni, et al.
Published: (2023)
by: Altabaa, Awni, et al.
Published: (2023)
Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence
by: Yongacoglu, Bora, et al.
Published: (2023)
by: Yongacoglu, Bora, et al.
Published: (2023)
Generalizing Better Response Paths and Weakly Acyclic Games
by: Yongacoglu, Bora, et al.
Published: (2024)
by: Yongacoglu, Bora, et al.
Published: (2024)
Decentralized Learning for Optimality in Stochastic Dynamic Teams and Games with Local Control and Global State Information
by: Yongacoglu, Bora, et al.
Published: (2019)
by: Yongacoglu, Bora, et al.
Published: (2019)
Fictitious Play in Extensive-Form Games of Imperfect Information
by: Castiglione, Jason, et al.
Published: (2025)
by: Castiglione, Jason, et al.
Published: (2025)
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
by: Yardim, Batuhan, et al.
Published: (2024)
by: Yardim, Batuhan, et al.
Published: (2024)
Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures
by: Hu, Ruimeng, et al.
Published: (2025)
by: Hu, Ruimeng, et al.
Published: (2025)
Policy Optimization and Multi-agent Reinforcement Learning for Mean-variance Team Stochastic Games
by: Hu, Junkai, et al.
Published: (2025)
by: Hu, Junkai, et al.
Published: (2025)
Reinforcement Learning for Finite Space Mean-Field Type Games
by: Shao, Kai, et al.
Published: (2024)
by: Shao, Kai, et al.
Published: (2024)
Optimistic Online Learning in Symmetric Cone Games
by: Barakat, Anas, et al.
Published: (2025)
by: Barakat, Anas, et al.
Published: (2025)
Operator Splitting for Learning to Predict Equilibria in Convex Games
by: McKenzie, Daniel, et al.
Published: (2021)
by: McKenzie, Daniel, et al.
Published: (2021)
On Passivity, Reinforcement Learning and Higher-Order Learning in Multi-Agent Finite Games
by: Gao, Bolin, et al.
Published: (2018)
by: Gao, Bolin, et al.
Published: (2018)
Faster Rates for No-Regret Learning in General Games via Cautious Optimism
by: Soleymani, Ashkan, et al.
Published: (2025)
by: Soleymani, Ashkan, et al.
Published: (2025)
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
by: Cai, Yang, et al.
Published: (2024)
by: Cai, Yang, et al.
Published: (2024)
Finite-Sample Guarantees for Learning Dynamics in Zero-Sum Polymatrix Games
by: Faizal, Fathima Zarin, et al.
Published: (2024)
by: Faizal, Fathima Zarin, et al.
Published: (2024)
Online Multi-Agent Control with Adversarial Disturbances
by: Barakat, Anas, et al.
Published: (2025)
by: Barakat, Anas, et al.
Published: (2025)
Doubly Optimal No-Regret Online Learning in Strongly Monotone Games with Bandit Feedback
by: Ba, Wenjia, et al.
Published: (2021)
by: Ba, Wenjia, et al.
Published: (2021)
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
by: Qiu, Shuang, et al.
Published: (2022)
by: Qiu, Shuang, et al.
Published: (2022)
Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations
by: Huang, Han, et al.
Published: (2024)
by: Huang, Han, et al.
Published: (2024)
On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games
by: Cai, Yang, et al.
Published: (2025)
by: Cai, Yang, et al.
Published: (2025)
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback
by: Jordan, Michael I., et al.
Published: (2023)
by: Jordan, Michael I., et al.
Published: (2023)
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Games
by: Chasparis, Georgios C.
Published: (2025)
by: Chasparis, Georgios C.
Published: (2025)
Last-Iterate Guarantees for Learning in Co-coercive Games
by: Chandak, Siddharth, et al.
Published: (2026)
by: Chandak, Siddharth, et al.
Published: (2026)
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings
by: Chasnov, Benjamin, et al.
Published: (2019)
by: Chasnov, Benjamin, et al.
Published: (2019)
The Oracle Complexity of Simplex-based Matrix Games
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Convergence of Regret Matching in Potential Games and Constrained Optimization
by: Anagnostides, Ioannis, et al.
Published: (2025)
by: Anagnostides, Ioannis, et al.
Published: (2025)
Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games
by: Kudo, Mikoto, et al.
Published: (2024)
by: Kudo, Mikoto, et al.
Published: (2024)
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
by: Emmanouilidis, Konstantinos, et al.
Published: (2024)
by: Emmanouilidis, Konstantinos, et al.
Published: (2024)
Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games
by: Nayak, Anupam, et al.
Published: (2025)
by: Nayak, Anupam, et al.
Published: (2025)
Small-Gain Nash: Certified Contraction to Nash Equilibria in Differentiable Games
by: Sharma, Vedansh
Published: (2025)
by: Sharma, Vedansh
Published: (2025)
An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of Continuous Games
by: Wang, Guillaume, et al.
Published: (2022)
by: Wang, Guillaume, et al.
Published: (2022)
Data-Scarce Identification of Game Dynamics via Sum-of-Squares Optimization
by: Sakos, Iosif, et al.
Published: (2023)
by: Sakos, Iosif, et al.
Published: (2023)
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization
by: Daskalakis, Constantinos, et al.
Published: (2018)
by: Daskalakis, Constantinos, et al.
Published: (2018)
Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games
by: Soleymani, Ashkan, et al.
Published: (2025)
by: Soleymani, Ashkan, et al.
Published: (2025)
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games
by: Cai, Yang, et al.
Published: (2024)
by: Cai, Yang, et al.
Published: (2024)
Stochastic variance reduced extragradient methods for solving hierarchical variational inequalities
by: Dvurechensky, Pavel, et al.
Published: (2026)
by: Dvurechensky, Pavel, et al.
Published: (2026)
A Deep Learning Method for Optimal Investment Under Relative Performance Criteria Among Heterogeneous Agents
by: Laurière, Mathieu, et al.
Published: (2024)
by: Laurière, Mathieu, et al.
Published: (2024)
Similar Items
-
Paths to Equilibrium in Games
by: Yongacoglu, Bora, et al.
Published: (2024) -
Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity
by: Yongacoglu, Bora, et al.
Published: (2022) -
Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
by: Altabaa, Awni, et al.
Published: (2023) -
Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence
by: Yongacoglu, Bora, et al.
Published: (2023) -
Generalizing Better Response Paths and Weakly Acyclic Games
by: Yongacoglu, Bora, et al.
Published: (2024)