Topic 1: Neural Networks
Deep Neural Network
Convolutional neural network
Generative Adversarial Networks
Recurrent neural networks
Neural Network Structure
Neural Symbol Hybrid Model
Interpretability and Visualization Methods of Neural Networks
Analysis and research of neural networks in fields such as healthcare, finance, and energy
Topic 2: Machine Learning
Width learning system
Machine learning
Deep learning
Reinforcement Learning
Learning transfer
knowledge graph
Path Planning
Transfer learning
Generative Adversarial Networks
Adversarial learning
Paired-associate learning
Distributed learning
Meta learning, etc
Topic 3: Reinforcement Learning and Intelligent Optimization
Deep Reinforcement Learning (DRL)
Multi-agent system
Sequential Decision Making and Dynamic Programming
Evolutionary Algorithm and Heuristic Optimization
Security and robustness