multi-agent system

JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving CoRL 2022 Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction ICLR 2022 Learning by Competition of Self-Interested Reinforcement Learning Agents AAAI 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 NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning NeurIPS 2022 Learning to Mitigate AI Collusion on Economic Platforms NeurIPS 2022 Learning to Walk with Dual Agents for Knowledge Graph Reasoning AAAI 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 Lifting in multi-agent systems under uncertainty UAI 2022 MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems AAAI 2022 Matching in Multi-arm Bandit with Collision NeurIPS 2022 MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control NeurIPS 2022 Mechanism Design Powered by Social Interactions: A Call to Arms IJCAI 2022 Model-Based Diagnosis of Multi-Agent Systems: A Survey AAAI 2022 Model-Based Opponent Modeling NeurIPS 2022 Modeling Strong and Human-Like Gameplay with KL-Regularized Search ICML 2022 Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022 Multi-agent Dynamic Algorithm Configuration NeurIPS 2022 Multi-Agent Intention Progression with Reward Machines IJCAI 2022 Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022 Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism JMLR 2022 Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NeurIPS 2022