Multi-Agent Incentive Communication via Decentralized Teammate Modeling

Keyphrases

• Multi-agent 100%
• Teammates 100%
• Multi-agent Reinforcement Learning 100%
• Local Policy 66%
• Excellent Performance 33%
• Value Function 33%
• Agnostic 33%
• Action Selection 33%
• Effective Communication 33%
• Communication Efficiency 33%
• Factorization Method 33%
• Sparsity 33%
• Local Decision-making 33%
• Reinforcement Learning Algorithm 33%
• Reinforcement Learning Task 33%
• Learning Complexity 33%
• Popular Communication 33%
• Communication Paradigm 33%
• Complex Settings 33%
• Local Observations 33%
• Policy Space 33%
• Tailored Messages 33%
• Communication Scheme 33%
• Latent Embedding 33%
• Explicit Coordination 33%
• Value Function Factorization 33%
• Implicit Coordination 33%

Computer Science

• multi agent 100%
• Multi-Agent Reinforcement Learning 100%
• Decision-Making 33%
• Regularization 33%
• Sparsity 33%
• Reinforcement Learning 33%
• Effective Communication 33%
• Communication Scheme 33%
• Learning Complexity 33%
• Reduce Uncertainty 33%