12 citations · 12 across the 2 of their papers we have counts for
6 papers
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles
Utku Ayvaz, Chih-Hong Cheng, Hao Shen
While autonomous vehicles (AVs) may perform remarkably well in generic real-life cases, their irrational action in some unforeseen cases leads to critical safety concerns. This pap…
SPSQL: Step-by-step Parsing Based Framework for Text-to-SQL Generation
Ran Shen, Gang Sun, Hao Shen +3
Converting text into the structured query language (Text2SQL) is a research hotspot in the field of natural language processing (NLP), which has broad application prospects. In the…
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations
Jianzhang Zheng, Hao Shen, Jian Yang +5
Autoencoders have achieved great success in various computer vision applications. The autoencoder learns appropriate low dimensional image representations through the self-supervis…
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy
Yinzhen Xu, Weikang Wan, Jialiang Zhang +10
In this work, we tackle the problem of learning universal robotic dexterous grasping from a point cloud observation under a table-top setting. The goal is to grasp and lift up obje…
Reinforcement Learning in Conflicting Environments for Autonomous Vehicles
Dominik Meyer, Johannes Feldmaier, Hao Shen
In this work, we investigate the application of Reinforcement Learning to two well known decision dilemmas, namely Newcomb's Problem and Prisoner's Dilemma. These problems are exem…
Regularized Gradient Temporal-Difference Learning
Dominik Meyer, Hao Shen, Klaus Diepold
In this paper, we study the Temporal Difference (TD) learning with linear value function approximation. It is well known that most TD learning algorithms are unstable with linear f…