Showing 61–80 of 115 results
/ Date/ Name
Jun 14, 2023Measuring and Controlling Divisiveness in Rank AggregationMay 7, 2023Multi-agent Continual Coordination via Progressive Task ContextualizationMar 6, 2023Large-Scale Exploration of Cave Environments by Unmanned Aerial VehiclesFeb 25, 2023Hierarchical Needs-driven Agent Learning Systems: From Deep Reinforcement Learning To Diverse StrategiesFeb 9, 2023PACNav: A collective navigation approach for UAV swarms deprived of communication and external localizationFeb 9, 2023Power Line Inspection Tasks with Multi-Aerial Robot Systems via Signal Temporal Logic SpecificationsJan 31, 2023Sequential Strategic ScreeningNov 7, 2022Federated Causal Discovery From InterventionsNov 6, 2022Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and ChallengesJul 1, 2022COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learningJun 6, 2022Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret BoundsMay 5, 2022HARL: A Novel Hierachical Adversary Reinforcement Learning for Automoumous Intersection ManagementMay 4, 2022On the Complexity of Majority Illusion in Social NetworksFeb 21, 2022HCMD-zero: Learning Value Aligned Mechanisms from DataJan 27, 2022Human-centered mechanism design with Democratic AIDec 1, 2021Collective discrete optimisation as judgment aggregationNov 25, 2021Unravelling multi-agent ranked delegationsJul 16, 2021Robust Risk-Sensitive Reinforcement Learning Agents for Trading MarketsJun 11, 2021A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online AdvertisingJun 5, 2021MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning