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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition AAAI 2021
Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games AAAI 2021
Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021
Inference-Based Deterministic Messaging For Multi-Agent Communication AAAI 2021
Solving Common-Payoff Games with Approximate Policy Iteration AAAI 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021
Transferable Dialogue Systems and User Simulators ACL 2021
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021
Large-Scale Multi-Agent Deep FBSDEs ICML 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021
Coordination Between Individual Agents in Multi-Agent Reinforcement Learning AAAI 2021
ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning ACML 2021
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits AISTATS 2021
Tractable contextual bandits beyond realizability AISTATS 2021
Multitasking Inhibits Semantic Drift NAACL 2021
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ICML 2021
Online Learning in Unknown Markov Games ICML 2021
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning ICML 2021
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL ICML 2021
Neural Auto-Curricula in Two-Player Zero-Sum Games NIPS 2021
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks NIPS 2021
Regularized Softmax Deep Multi-Agent Q-Learning NIPS 2021