Reinforcement Q-Learning applied to underwater search planning towards maximizing information gain in environments with variable target detection probabilities

Keyphrases

• Reinforcement Q-learning 100%
• Variable Targets 100%
• Underwater Search 100%
• Exploration Missions 50%
• Varying Environmental Conditions 50%
• Sonar Signal 50%
• Detection Probability 50%

Engineering

• Detection Probability 100%
• Probability of Detection 50%
• False Alarm 50%