Multi-Agent Systems

Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NeurIPS 2022 Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach CoRL 2022 Decentralized Mean Field Games AAAI 2022 Decentralized Online Convex Optimization in Networked Systems ICML 2022 Deceptive Decision-Making under Uncertainty AAAI 2022 Decision-theoretic planning with communication in open multiagent systems UAI 2022 Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems NeurIPS 2022 Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models L4DC 2022 Defending Compositionality in Emergent Languages NAACL 2022 DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning NeurIPS 2022 DiffG-RL: Leveraging Difference between Environment State and Common Sense EMNLP 2022 Disentangling Categorization in Multi-agent Emergent Communication NAACL 2022 Displaying Justifications for Collective Decisions IJCAI 2022 Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems NeurIPS 2022 Distributed Optimisation and Deconstruction of Bridges by Self-Assembling Robots RSS 2022 Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters L4DC 2022 Diversified Recommendations for Agents with Adaptive Preferences NeurIPS 2022 Domain Adversarial Training: A Game Perspective ICLR 2022 Don’t Copy the Teacher: Data and Model Challenges in Embodied Dialogue EMNLP 2022 DuoAI: Fast, Automated Inference of Inductive Invariants for Verifying Distributed Protocols OSDI 2022 Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms IJCAI 2022 Dynamic Incentive Mechanism Design for COVID-19 Social Distancing AAAI 2022 Dynamic relocation in ridesharing via fixpoint construction UAI 2022 EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits ICLR 2022 Efficient Deep Learning for Multi Agent Pathfinding AAAI 2022