Event-driven temporal models for explanations-ETeMoX: explaining reinforcement learning

Mathematics

• Event-driven 100%
• Reinforcement Learning 90%
• Architecture 33%
• Decision Making 30%
• Artificial Intelligence 24%
• Model 19%
• Q-learning 16%
• Mobile Communication 16%
• Autonomous Agents 16%
• Autonomy 15%
• Learning Systems 15%
• Storage Capacity 15%
• Time Windows 14%
• Trial and error 14%
• Software System 14%
• Metric 13%
• Learning Algorithm 11%
• Autonomous Systems 10%
• Integrate 10%
• Trade-offs 10%
• Reasoning 9%
• Resources 9%
• History 9%
• Entire 8%
• Relationships 6%
• Self-management 1%
• Complex Event Processing 1%

Engineering & Materials Science

• Reinforcement learning 60%
• Decision making 21%
• Artificial intelligence 17%
• Autonomous agents 12%
• History 11%
• Learning systems 10%
• Learning algorithms 8%
• Communication 5%