Multi-Agent Systems

Strategic Resource Selection with Homophilic Agents IJCAI 2023 Strategyproof Voting under Correlated Beliefs NeurIPS 2023 Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks AAAI 2023 SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs UAI 2023 Synchronization and Diversity of Solutions AAAI 2023 Target-Referenced Reactive Grasping for Dynamic Objects CVPR 2023 TART: A plug-and-play Transformer module for task-agnostic reasoning NeurIPS 2023 Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗ IJCAI 2023 Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning NeurIPS 2023 Temporal Network Creation Games IJCAI 2023 The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium NeurIPS 2023 The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics ICML 2023 The Multi-Agent Transportation Problem AAAI 2023 Theory of Mind for Multi-Agent Collaboration via Large Language Models EMNLP 2023 The Replicator Dynamic, Chain Components and the Response Graph ALT 2023 The Waymo Open Sim Agents Challenge NeurIPS 2023 Topological Pooling on Graphs AAAI 2023 Towards a Better Understanding of Learning with Multiagent Teams IJCAI 2023 Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract) AAAI 2023 Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective ICLR 2023 Towards Formal Verification of Neuro-symbolic Multi-agent Systems IJCAI 2023 Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023 Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games AAAI 2023 Towards Safe and Resilient Autonomy in Multi-Robot Systems AAAI 2023 Train 'n Trade: Foundations of Parameter Markets NeurIPS 2023