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Found 6 papers, 0 papers with code
A Systematic Review for Transformer-based Long-term Series Forecasting
Various variants have enabled transformer architecture to effectively handle long-term time series forecasting (LTSF) tasks.
A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation
Image captioning is a challenging task involving generating a textual description for an image using computer vision and natural language processing techniques.
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning
Reinforcement learning algorithms generate optimal or near-optimal time-sequential predictions.
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Fifth, we systematically present the hybridization of Bayesian inference and RL which is a promising direction to improve the convergence of RL for better motion planning.
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios
Intelligent robots provide a new insight into efficiency improvement in industrial and service scenarios to replace human labor.
A review of motion planning algorithms for intelligent robotics
These include traditional planning algorithms, supervised learning, optimal value reinforcement learning, policy gradient reinforcement learning.
