Multi-Agent Systems

Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024 Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck AAAI 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Learning in Online Principal-Agent Interactions: The Power of Menus AAAI 2024 Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders ICML 2024 Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach ICLR 2024 Learning Multi-Agent Communication from Graph Modeling Perspective ICLR 2024 Learning Multi-Agent Communication with Contrastive Learning ICLR 2024 Learning Multi-Object Positional Relationships via Emergent Communication AAAI 2024 Learning Not to Regret AAAI 2024 Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024 Learning the Expected Core of Strictly Convex Stochastic Cooperative Games NeurIPS 2024 Learning to Assist Humans without Inferring Rewards NeurIPS 2024 Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games NeurIPS 2024 Learning to Cooperate with Humans using Generative Agents NeurIPS 2024 Learning to Decode Collaboratively with Multiple Language Models ACL 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NeurIPS 2024 Learning to Use Tools via Cooperative and Interactive Agents EMNLP 2024 Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition IJCAI 2024 Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning AAAI 2024 Let Models Speak Ciphers: Multiagent Debate through Embeddings ICLR 2024 Let’s Negotiate! A Survey of Negotiation Dialogue Systems EACL 2024 Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration RSS 2024 Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning AAAI 2024