Age-optimal information gathering in linear underwater networks: A deep reinforcement learning approach

Mathematics

• Reinforcement Learning 100%
• Underwater Vehicle 89%
• Physical process 33%
• Update 26%
• K-means Clustering 20%
• Actors 18%
• Sensing 18%
• Leverage 16%
• Stopping Time 15%
• Monitor 15%
• Framework 15%
• Baseline 14%
• Weighted Sums 13%
• Optimise 13%
• Quantify 13%
• Scheduling 13%
• Movement 13%
• Scenarios 12%
• Robustness 11%
• Trajectory 10%
• Optimization Problem 9%
• Simulation 8%
• Performance 7%
• Standards 7%
• Integer 6%
• Concepts 6%

Engineering & Materials Science

• Autonomous underwater vehicles 78%
• Reinforcement learning 66%
• Linear networks 21%
• K-means clustering 18%
• Trajectories 11%
• Scheduling 11%