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Multi-Agent Systems

3306 directly classified papers

Papers per year

Papers

Reinforcement learning in many-agent settings under partial observability UAI 2022
Information design for multiple independent and self-interested defenders: Work less, pay off more UAI 2022
Learning to Share in Networked Multi-Agent Reinforcement Learning NIPS 2022
Multi-agent Dynamic Algorithm Configuration NIPS 2022
An explore-then-commit algorithm for submodular maximization under full-bandit feedback UAI 2022
Linearizing contextual bandits with latent state dynamics UAI 2022
Federated online clustering of bandits UAI 2022
Dynamic relocation in ridesharing via fixpoint construction UAI 2022
Balancing adaptability and non-exploitability in repeated games UAI 2022
Information theoretic approach to detect collusion in multi-agent games UAI 2022
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles AAAI 2022
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation NIPS 2022
Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception CORL 2022
CoBEVT: Cooperative Bird’s Eye View Semantic Segmentation with Sparse Transformers CORL 2022
Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach CORL 2022
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning NIPS 2022
Emergent Graphical Conventions in a Visual Communication Game NIPS 2022
CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance AAAI 2022
Shield Decentralization for Safe Multi-Agent Reinforcement Learning NIPS 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport CORL 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NIPS 2022
Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets AAAI 2022
Fair and Efficient Allocations Without Obvious Manipulations NIPS 2022
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning NIPS 2022
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization NIPS 2022