Securing Fast and High-Precision Localization for Shallow Underground Explosive Source: A Curiosity-Driven Deep Reinforcement Learning Approach.
Dan WuLiming WangJian LiMeiyan LiangYunpeng KangQi JiaoPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- high precision
- reinforcement learning
- high recall
- high reliability
- practical application
- function approximation
- machine learning
- data driven
- learning algorithm
- achieve high precision
- reinforcement learning algorithms
- question answering
- high accuracy
- natural language processing
- state space
- optimal policy
- multiple sources
- temporal difference
- object localization
- deep knowledge
- function approximators
- wall street journal
- knowledge base
- multi agent reinforcement learning
- previously learned
- multi agent
- simultaneous localization and mapping
- learning process
- markov decision processes