Toward Policy Explanations for Multi-Agent Reinforcement Learning

Keyphrases

• Multi-agent Reinforcement Learning 100%
• Policy Explanation 100%
• User Satisfaction 50%
• Multi-agent Environment 25%
• Multi-agent Applications 25%
• Agent Behavior 25%
• User Study 25%
• Sequential Decision Making 25%
• Agent Coordination 25%
• User Performance 25%
• Agent Decision 25%
• Subjective Rating 25%
• Autonomous Driving 25%
• Improved System 25%
• Cooperative AI 25%
• Task Sequencing 25%
• Human-agent Collaboration 25%
• Learning Domains 25%
• System Transparency 25%
• Explainable Reinforcement Learning 25%

Computer Science

• Multi-Agent Reinforcement Learning 100%
• multi agent 50%
• User Satisfaction 50%
• Artificial Intelligence 25%
• Sequential Decision Making 25%
• Reinforcement Learning 25%
• User Performance 25%
• Autonomous Driving 25%
• Experimental Result 25%

Engineering

• Reinforcement Learning 100%
• Experimental Result 20%
• Tasks 20%
• Cooperative 20%
• Artificial Intelligence 20%
• Metrics 20%
• Summarization 20%