Integrates multi-head attention with SAC for faster convergence in optimizing additive manufacturing parameters to minimize porosity, outperforming DQN, PPO, TD3, and vanilla SAC.
Application of machine learning in additive manufacturing of a novel al alloy heat exchanger,
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
The DQAF framework automates post-episode quality assessment and natural-language feedback in teleoperation to help novice operators produce higher-quality robot demonstration data faster.
InvestChat is a multimodal tablet app combining natural language chat, touch, and pen for stock exploration; a user study with novices found complementary modality use and preference for natural language.
citing papers explorer
-
Multi-Head Attention-Based Feature Extractor Integration with Soft Actor-Critic for Porosity Prediction and Process Parameter Optimization in Additive Manufacturing
Integrates multi-head attention with SAC for faster convergence in optimizing additive manufacturing parameters to minimize porosity, outperforming DQN, PPO, TD3, and vanilla SAC.
-
Closing the Loop in Teleoperation: Episode-Level Data Quality Assessment and Feedback for High-Quality Demonstration Collection
The DQAF framework automates post-episode quality assessment and natural-language feedback in teleoperation to help novice operators produce higher-quality robot demonstration data faster.
-
InvestChat: Exploring Multimodal Interaction via Natural Language, Touch, and Pen in an Investment Dashboard
InvestChat is a multimodal tablet app combining natural language chat, touch, and pen for stock exploration; a user study with novices found complementary modality use and preference for natural language.