MARL-papers

• Multiagent cooperation and competition with Deep Reinforcement Learning
• Learning to Communicate to Solve Riddles with Deep distributed Recurrent Q-Networks
• Deep Reinforcement Learning from Self-Play in imperfect-information Games
• Learning to Communicate with Deep Multi-Agent Reinforcement Learning
• Learning Multiagent Communication with Backpropagation
• Cooperative Mutli-Agent Control using Deep Reinforcement Learning
• Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
• Multi-agent Reinforcement Learning in Sequential Social Dilemmas
• Emergence of Grounded Language in Multi-Agent Populations
• Emergence of Language with Multi-agent Games: Learning to Communicate with Sequence of Symbols
• Counterfactual Multi-Agent Policy Gradients
• Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
• Learning with Opponent-Learning Awareness
• Emergence Complexity via Multi-Agent Competition
• A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
• QMIX: Monotonic Value Function Factorisation for deep Multi-Agent Reinforcement Learning
• Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
• Emergence Communication through Negotiation
• Learning Policy Representations in Multiagent Systems
• Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems