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Multi-Agent Systems

788 directly classified papers

Papers per year

Papers

XDO: A Double Oracle Algorithm for Extensive-Form Games NIPS 2021
Fair Algorithms for Multi-Agent Multi-Armed Bandits NIPS 2021
VAST: Value Function Factorization with Variable Agent Sub-Teams NIPS 2021
Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021
Improving Multi-agent Coordination by Learning to Estimate Contention IJCAI 2021
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair NIPS 2021
Cooperation in Threshold Public Projects with Binary Actions IJCAI 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization NIPS 2021
Trajectory Diversity for Zero-Shot Coordination ICML 2021
Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021
Quantile Bandits for Best Arms Identification ICML 2021
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding EMNLP 2021
Co-evolution of language and agents in referential games EACL 2021
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation EACL 2021
“Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space EACL 2021
Follow-the-Regularized-Leader Routes to Chaos in Routing Games ICML 2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction ICCV 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results ICML 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding AAAI 2021
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction AAAI 2021