Multi-Agent Systems

VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract) AAAI 2022 VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids IJCAI 2022 Wasserstein Unsupervised Reinforcement Learning AAAI 2022 Watch and Match: Supercharging Imitation with Regularized Optimal Transport CoRL 2022 Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy ICML 2022 When Can the Defender Effectively Deceive Attackers in Security Games? AAAI 2022 When Votes Change and Committees Should (Not) IJCAI 2022 Who did it? Identifying the Most Likely Origins of Events PGM 2022 Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction CVPR 2022 Worst-Case Voting When the Stakes Are High AAAI 2022 Zero-shot Entity Linking with Less Data NAACL 2022 Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NeurIPS 2021 Accomplice Manipulation of the Deferred Acceptance Algorithm IJCAI 2021 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem JMLR 2021 A Contextual Bandit Bake-off JMLR 2021 Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization CVPR 2021 Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium COLT 2021 Adversarial Attacks on Multi-Agent Communication ICCV 2021 Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021 Adversarial Policy Learning in Two-player Competitive Games ICML 2021 A Game-Theoretic Account of Responsibility Allocation IJCAI 2021 AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting ICCV 2021 Agent Incentives: A Causal Perspective AAAI 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NeurIPS 2021 Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory IJCAI 2021