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Found 6 papers, 3 papers with code
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation
In this paper, we compare several recent sentence embedding methods via time-series of semantic similarity between successive sentences and matrices of pairwise sentence similarity for multiple books of literature.
DeepCPG Policies for Robot Locomotion
We present novel DeepCPG policies that embed CPGs as a layer in a larger neural network and facilitate end-to-end learning of locomotion behaviors in deep reinforcement learning (DRL) setup.
Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
Over the last few decades, modern industrial processes have investigated several cost-effective methodologies to improve the productivity and yield of semiconductor manufacturing.
Robust Deep Reinforcement Learning for Quadcopter Control
However, the policies trained on stationary environments suffer in terms of generalization when transferred from one environment to another.
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
The results show faster learning with the presented approach as opposed to learning the control policy from scratch for this new UAV design created by modifications in a conventional quadcopter, i. e., the addition of more degrees of freedom (4-actuators in conventional quadcopter to 8-actuators in tilt-rotor quadcopter).
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
Quality control is an essential process in manufacturing to make the product defect-free as well as to meet customer needs.
