Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks

Mathematics

• Reinforcement Learning 100%
• Sensing 91%
• Policy 36%
• Throughput 28%
• Q-learning 24%
• Wireless Networks 20%
• Partial Observation 10%
• Performance 8%
• Traffic 8%
• Optimise 7%
• Maximise 6%
• Scenarios 6%
• Markov chain 6%
• Knowledge 5%
• Partial 4%
• Observation 4%
• Unknown 4%
• Demonstrate 4%
• Dynamic Spectrum Access 2%

Engineering & Materials Science

• Reinforcement learning 66%
• Throughput 46%
• Wireless networks 34%
• Markov chains 21%
• Data storage equipment 13%