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Multi-Agent Systems

788 directly classified papers

Papers per year

Papers

Structure Learning for Approximate Solution of Many-Player Games AAAI 2020
Price of Fairness in Budget Division and Probabilistic Social Choice AAAI 2020
Robust Market Equilibria with Uncertain Preferences AAAI 2020
Multi-Type Resource Allocation with Partial Preferences AAAI 2020
Proximal Distilled Evolutionary Reinforcement Learning AAAI 2020
Generative Exploration and Exploitation AAAI 2020
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020
Incentive-Compatible Classification AAAI 2020
Learning to Model Opponent Learning (Student Abstract) AAAI 2020
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review UAI 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems L4DC 2020
Learning a Decentralized Multi-Arm Motion Planner CORL 2020
Learning to Walk in the Real World with Minimal Human Effort CORL 2020
Learning Strategic Network Emergence Games NIPS 2020
Gifting in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2020
Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract) AAAI 2020
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents AAAI 2020
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning AAAI 2020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020
Google Research Football: A Novel Reinforcement Learning Environment AAAI 2020
Learning to Interactively Learn and Assist AAAI 2020
Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games AAAI 2020
Coarse Correlation in Extensive-Form Games AAAI 2020
Compositionality and Generalization In Emergent Languages ACL 2020