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Multi-Agent Systems

788 directly classified papers

Papers per year

Papers

Project-Fair and Truthful Mechanisms for Budget Aggregation AAAI 2024
A Multitask Training Approach to Enhance Whisper with Open-Vocabulary Keyword Spotting INTERSPEECH 2024
Manipulation-Robust Selection of Citizens’ Assemblies AAAI 2024
Refined Characterizations of Approval-Based Committee Scoring Rules AAAI 2024
Opponent Modeling with In-context Search NIPS 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks EMNLP 2024
Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024
Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024
Maximizing utility in multi-agent environments by anticipating the behavior of other learners NIPS 2024
Stability in Online Coalition Formation AAAI 2024
Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling AAAI 2024
Principal-Agent Reward Shaping in MDPs AAAI 2024
Content Filtering with Inattentive Information Consumers AAAI 2024
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems NIPS 2024
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution AAAI 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Understanding Model Selection for Learning in Strategic Environments NIPS 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts WACV 2024
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NIPS 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? EMNLP 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NIPS 2024