Beyond Pessimism: Offline Learning in KL-regularized Games
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yuheng, Chen, Claire, Jiang, Nan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pessimism-Free Offline Learning in General-Sum Games via KL Regularization
by: Chen, Claire, et al.
Published: (2026)
by: Chen, Claire, et al.
Published: (2026)
Offline Two-Player Zero-Sum Markov Games with KL Regularization
by: Chen, Claire, et al.
Published: (2026)
by: Chen, Claire, et al.
Published: (2026)
Fast Rates in $α$-Potential Games via Regularized Mirror Descent
by: Chen, Claire, et al.
Published: (2026)
by: Chen, Claire, et al.
Published: (2026)
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
by: Nika, Andi, et al.
Published: (2024)
by: Nika, Andi, et al.
Published: (2024)
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
by: Yan, Yuling, et al.
Published: (2022)
by: Yan, Yuling, et al.
Published: (2022)
Learning to Steer Learners in Games
by: Zhang, Yizhou, et al.
Published: (2025)
by: Zhang, Yizhou, et al.
Published: (2025)
Swap Regret and Correlated Equilibria Beyond Normal-Form Games
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)
Offline Fictitious Self-Play for Competitive Games
by: Chen, Jingxiao, et al.
Published: (2024)
by: Chen, Jingxiao, 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)
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models
by: Fang, Zeyu, et al.
Published: (2024)
by: Fang, Zeyu, et al.
Published: (2024)
Price-Discrimination Game for Distributed Resource Management in Federated Learning
by: Zhang, Han, et al.
Published: (2023)
by: Zhang, Han, et al.
Published: (2023)
Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
by: Chen, Zaiwei, et al.
Published: (2024)
by: Chen, Zaiwei, et al.
Published: (2024)
Learning in Structured Stackelberg Games
by: Balcan, Maria-Florina, et al.
Published: (2025)
by: Balcan, Maria-Florina, et al.
Published: (2025)
Corrupted Learning Dynamics in Games
by: Tsuchiya, Taira, et al.
Published: (2024)
by: Tsuchiya, Taira, et al.
Published: (2024)
Regulation Games for Trustworthy Machine Learning
by: Yaghini, Mohammad, et al.
Published: (2024)
by: Yaghini, Mohammad, et al.
Published: (2024)
Bayesian Learning in Episodic Zero-Sum Games
by: Yueh, Chang-Wei, et al.
Published: (2026)
by: Yueh, Chang-Wei, et al.
Published: (2026)
Adaptively Perturbed Mirror Descent for Learning in Games
by: Abe, Kenshi, et al.
Published: (2023)
by: Abe, Kenshi, et al.
Published: (2023)
Incentivized Learning in Principal-Agent Bandit Games
by: Scheid, Antoine, et al.
Published: (2024)
by: Scheid, Antoine, et al.
Published: (2024)
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
by: Xu, Renzhe, et al.
Published: (2024)
by: Xu, Renzhe, et al.
Published: (2024)
Learning in Bayesian Stackelberg Games With Unknown Follower's Types
by: Bollini, Matteo, et al.
Published: (2026)
by: Bollini, Matteo, et al.
Published: (2026)
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
by: Donahue, Kate, et al.
Published: (2024)
by: Donahue, Kate, et al.
Published: (2024)
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs
by: An, Zijian, et al.
Published: (2025)
by: An, Zijian, et al.
Published: (2025)
Puzzle it Out: Local-to-Global World Model for Offline Multi-Agent Reinforcement Learning
by: Li, Sijia, et al.
Published: (2026)
by: Li, Sijia, et al.
Published: (2026)
Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
by: Liu, Junyan, et al.
Published: (2026)
by: Liu, Junyan, et al.
Published: (2026)
HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
by: Tran, Nam Phuong, et al.
Published: (2024)
by: Tran, Nam Phuong, et al.
Published: (2024)
Last-Iterate Convergence of No-Regret Learning for Equilibria in Bargaining Games
by: Kamp, Serafina, et al.
Published: (2025)
by: Kamp, Serafina, et al.
Published: (2025)
Balancing of competitive two-player Game Levels with Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2023)
by: Rupp, Florian, et al.
Published: (2023)
Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
by: Balcan, Maria-Florina, et al.
Published: (2025)
by: Balcan, Maria-Florina, et al.
Published: (2025)
Game Theory Meets Statistical Mechanics in Deep Learning Design
by: Bouchaffra, Djamel, et al.
Published: (2024)
by: Bouchaffra, Djamel, et al.
Published: (2024)
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
by: Lei, Shiqi, et al.
Published: (2024)
by: Lei, Shiqi, et al.
Published: (2024)
Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games
by: Cai, Yang, et al.
Published: (2025)
by: Cai, Yang, et al.
Published: (2025)
Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
by: Zhang, Brian Hu, et al.
Published: (2025)
by: Zhang, Brian Hu, et al.
Published: (2025)
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
by: Sychrovský, David, et al.
Published: (2025)
by: Sychrovský, David, et al.
Published: (2025)
Robust Adversarial Reinforcement Learning in Stochastic Games via Sequence Modeling
by: Tang, Xiaohang, et al.
Published: (2025)
by: Tang, Xiaohang, et al.
Published: (2025)
Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
by: Altabaa, Awni, et al.
Published: (2023)
by: Altabaa, Awni, et al.
Published: (2023)
Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It
by: Kim, Dongseok, et al.
Published: (2025)
by: Kim, Dongseok, et al.
Published: (2025)
The Power of Regularization in Solving Extensive-Form Games
by: Liu, Mingyang, et al.
Published: (2022)
by: Liu, Mingyang, et al.
Published: (2022)
On Tractable $Φ$-Equilibria in Non-Concave Games
by: Cai, Yang, et al.
Published: (2024)
by: Cai, Yang, et al.
Published: (2024)
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
by: Fan, Zhiyuan, et al.
Published: (2024)
by: Fan, Zhiyuan, et al.
Published: (2024)
Similar Items
-
Pessimism-Free Offline Learning in General-Sum Games via KL Regularization
by: Chen, Claire, et al.
Published: (2026) -
Offline Two-Player Zero-Sum Markov Games with KL Regularization
by: Chen, Claire, et al.
Published: (2026) -
Fast Rates in $α$-Potential Games via Regularized Mirror Descent
by: Chen, Claire, et al.
Published: (2026) -
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
by: Nika, Andi, et al.
Published: (2024) -
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
by: Yan, Yuling, et al.
Published: (2022)