Multi-Agent Systems

Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence NeurIPS 2022 Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning EMNLP 2022 Influencing Long-Term Behavior in Multiagent Reinforcement Learning NeurIPS 2022 Information design for multiple independent and self-interested defenders: Work less, pay off more UAI 2022 Information theoretic approach to detect collusion in multi-agent games UAI 2022 Insight into Voting Problem Complexity Using Randomized Classes IJCAI 2022 Intelligence in Strategic Games (Extended Abstract) IJCAI 2022 Intelligent Camera Selection Decisions for Target Tracking in a Camera Network WACV 2022 Interaction Modeling with Multiplex Attention NeurIPS 2022 Invasion Dynamics in the Biased Voter Process IJCAI 2022 Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality NeurIPS 2022 Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming ICLR 2022 Itero: An Online Iterative Voting Application IJCAI 2022 JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection MIDL 2022 JRDB-Act: A Large-Scale Dataset for Spatio-Temporal Action, Social Group and Activity Detection CVPR 2022 Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction ICLR 2022 LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2022 Learning Altruistic Behaviours in Reinforcement Learning without External Rewards ICLR 2022 Learning by Competition of Self-Interested Reinforcement Learning Agents AAAI 2022 Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game NeurIPS 2022 Learning From All Vehicles CVPR 2022 Learning Graphon Mean Field Games and Approximate Nash Equilibria ICLR 2022 Learning in Congestion Games with Bandit Feedback NeurIPS 2022 Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022