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Multi-Agent Systems

3306 directly classified papers

Papers per year

Papers

Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning AAAI 2020
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning AAAI 2020
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning AAAI 2020
The Surprising Power of Hiding Information in Facility Location AAAI 2020
Preventing Arbitrage from Collusion When Eliciting Probabilities AAAI 2020
An Operational Semantics for True Concurrency in BDI Agent Systems AAAI 2020
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment AAAI 2020
Generative Attention Networks for Multi-Agent Behavioral Modeling AAAI 2020
Implicit Coordination Using FOND Planning AAAI 2020
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism AAAI 2020
Forgetting an Argument AAAI 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020
No-Regret and Incentive-Compatible Online Learning ICML 2020
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics ICML 2020
Predicting deliberative outcomes ICML 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles ICML 2020
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach ICML 2020
“Other-Play” for Zero-Shot Coordination ICML 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control ICML 2020
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning ICML 2020
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards ICML 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020