Learning to Interactively Learn and Assist
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
Multi-Agent Common Knowledge Reinforcement Learning
Multi-Agent Generalized Recursive Reasoning
Emergent Coordination Through Competition
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Relational Forward Models for Multi-Agent Learning
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
Structured Control Nets for Deep Reinforcement Learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
Evolving Intrinsic Motivations For Altruistic Behavior
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
Learning Fairness in Multi-Agent Systems
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning
Learning Policy Representations in Multiagent Systems
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Opponent Modeling in Deep Reinforcement Learning
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Counterfactual multi-agent policy gradients
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward
Credit Assignment For Collective Multiagent RL with Global Rewards
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Biases for Emergent Communication in Multi-agent Reinforcement Learning
Multi-Agent Cooperation and the Emergence of (Natural) Language
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Emergent Communication Through Negotiation
Learning multiagent communication with backpropagation
Learning to communicate with deep multi-agent reinforcement learning
Learning attentional communication for multi-agent cooperation
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
TarMAC: Targeted Multi-Agent Communication
Learning to Schedule Communication in Multi-agent Reinforcement Learning
SSoC: Learning Spontaneous and Self-Organizing Communication for Multi-Agent Collaboration
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Learning Structured Communication for Multi-Agent Reinforcement Learning
Learning Multi-Agent Communication Through Structured Attentive Reasoning
Learning Nearly Decomposable Value Functions Via Communication Minimization
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
[MADDPG] Multi-agent actor-critic for mixed cooperative-competitive environments
[MeanField] Mean field multi-agent reinforcement learning
[DGN] Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation
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