Cover Image

Uncoupled Learning of Differential Stackelberg Equilibria with Commitments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Loftin, Robert, Çelikok, Mustafa Mert, van Hoof, Herke, Kaski, Samuel, Oliehoek, Frans A.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents
by: Loftin, Robert, et al.
Published: (2024)

Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory
by: Çelikok, Mustafa Mert, et al.
Published: (2024)

Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
by: Suau, Miguel, et al.
Published: (2022)

Sample-Efficient Policy Space Response Oracles with Joint Experience Best Response
by: Bighashdel, Ariyan, et al.
Published: (2026)

Cooperative Bayesian Optimization for Imperfect Agents
by: Khoshvishkaie, Ali, et al.
Published: (2024)

Social Cooperation in Conversational AI Agents
by: Çelikok, Mustafa Mert, et al.
Published: (2025)

MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
by: Sawaika, Abhishek, et al.
Published: (2026)

Learning to Negotiate via Voluntary Commitment
by: Zhu, Shuhui, et al.
Published: (2025)

Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game
by: Pásztor, Barna, et al.
Published: (2025)

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
by: Liu, Anjie, et al.
Published: (2025)

Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
by: Yuwono, Steve, et al.
Published: (2024)

Differentially Private Reinforcement Learning with Self-Play
by: Qiao, Dan, et al.
Published: (2024)

Learning the Preferences of a Learning Agent
by: Sadek, Karim Abdel, et al.
Published: (2026)

Learning Strategy Representation for Imitation Learning in Multi-Agent Games
by: Lei, Shiqi, et al.
Published: (2024)

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)

Fully-Decentralized MADDPG with Networked Agents
by: Bolliger, Diego, et al.
Published: (2025)

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
by: Derstroff, Cedric, et al.
Published: (2023)

GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
by: Yu, Xiaoyang, et al.
Published: (2023)

Fluid-Agent Reinforcement Learning
by: Sharma, Shishir, et al.
Published: (2026)

A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
by: Cheruiyot, Kemboi, et al.
Published: (2025)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
by: Yin, Qiyue, et al.
Published: (2022)

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
by: Wu, Xuefei, et al.
Published: (2025)

QSIM: Mitigating Overestimation in Multi-Agent Reinforcement Learning via Action Similarity Weighted Q-Learning
by: Li, Yuanjun, et al.
Published: (2026)

CURO: Curriculum Learning for Relative Overgeneralization
by: Shi, Lin, et al.
Published: (2022)

Context Learning for Multi-Agent Discussion
by: Hua, Xingyuan, et al.
Published: (2026)

Convergence of Multiagent Learning Systems for Traffic control
by: Sen, Sayambhu, et al.
Published: (2025)

Learning Progress Driven Multi-Agent Curriculum
by: Zhao, Wenshuai, et al.
Published: (2022)

Learning Partial Action Replacement in Offline MARL
by: Jin, Yue, et al.
Published: (2026)

Learning to Communicate Through Implicit Communication Channels
by: Wang, Han, et al.
Published: (2024)

Learning to Cooperate with Humans using Generative Agents
by: Liang, Yancheng, et al.
Published: (2024)

Efficient Multi-agent Reinforcement Learning by Planning
by: Liu, Qihan, et al.
Published: (2024)

Multi-agent Reinforcement Learning: A Comprehensive Survey
by: Huh, Dom, et al.
Published: (2023)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)

Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
by: Fujimoto, Ted, et al.
Published: (2024)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)

Offline and Distributional Reinforcement Learning for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2024)

Learning to Steer Markovian Agents under Model Uncertainty
by: Huang, Jiawei, et al.
Published: (2024)