Multi-Agent Systems

PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection IJCAI 2020 Peer-Prediction in the Presence of Outcome Dependent Lying Incentives IJCAI 2020 Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games NeurIPS 2020 Pivot-based Maximal Biclique Enumeration IJCAI 2020 Pose-Assisted Multi-Camera Collaboration for Active Object Tracking AAAI 2020 Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information ICLR 2020 Predicting deliberative outcomes ICML 2020 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020 Preventing Arbitrage from Collusion When Eliciting Probabilities AAAI 2020 Private Bayesian Persuasion with Sequential Games AAAI 2020 Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications RSS 2020 Progressive Relation Learning for Group Activity Recognition CVPR 2020 Proportional Belief Merging AAAI 2020 Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020 Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020 Real World Games Look Like Spinning Tops NeurIPS 2020 Reasoning on Knowledge Graphs with Debate Dynamics AAAI 2020 Recursive Social Behavior Graph for Trajectory Prediction CVPR 2020 Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems UAI 2020 Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020 Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives ICLR 2020 Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions AAAI 2020 Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach AAAI 2020 Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders ICML 2020 Residual Policy Learning for Shared Autonomy RSS 2020