Multi-Agent Systems

Equilibrium Learning in Auction Markets AAAI 2022 Exploitability Minimization in Games and Beyond NeurIPS 2022 Federated Reinforcement Learning with Environment Heterogeneity AISTATS 2022 Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach NeurIPS 2022 Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games NeurIPS 2022 Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games AISTATS 2022 Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning ICML 2022 Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling EMNLP 2022 Heterogeneous Skill Learning for Multi-agent Tasks NeurIPS 2022 I2Q: A Fully Decentralized Q-Learning Algorithm NeurIPS 2022 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence NeurIPS 2022 Interaction Modeling with Multiplex Attention NeurIPS 2022 Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality NeurIPS 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 in Stochastic Monotone Games with Decision-Dependent Data AISTATS 2022 Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022 Learning to Improve Persona Consistency in Multi-party Dialogue Generation via Text Knowledge Enhancement COLING 2022 Learning to Mitigate AI Collusion on Economic Platforms NeurIPS 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 Learn what matters: cross-domain imitation learning with task-relevant embeddings NeurIPS 2022 Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning AAAI 2022 M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction CVPR 2022