Yantian Zha
Yantian Zha
The University of Maryland College Park
Verified email at - Homepage
Cited by
Cited by
Explicable planning as minimizing distance from expected behavior
A Kulkarni, Y Zha, T Chakraborti, SG Vadlamudi, Y Zhang, ...
AAMAS Conference proceedings, 2019
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
S Kambhampati, S Sreedharan, M Verma, Y Zha, L Guan
AAAI 2022 (Senior Member Presentation Track), 2021
Explicable robot planning as minimizing distance from expected behavior
A Kulkarni, T Chakraborti, Y Zha, SG Vadlamudi, Y Zhang, ...
CoRR, abs/1611.05497, 2016
Discovering underlying plans based on shallow models
HH Zhuo, Y Zha, S Kambhampati, X Tian
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (2), 1-30, 2020
Recognizing plans by learning embeddings from observed action distributions
Y Zha, Y Li, S Gopalakrishnan, B Li, S Kambhampati
AAMAS Conference proceedings, 2017
Explicablility as minimizing distance from expected behavior
A Kulkarni, Y Zha, T Chakraborti, SG Vadlamudi, Y Zhang, ...
arXiv preprint arXiv:1611.05497, 2016
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping
Y Zha, S Bhambri, L Guan
The IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Learning from ambiguous demonstrations with self-explanation guided reinforcement learning
Y Zha, L Guan, S Kambhampati
AAAI-24 Main Track & AAAI-22 Workshop on Reinforcement Learning in Games, 2021
" Task Success" is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors
L Guan, Y Zhou, D Liu, Y Zha, HB Amor, S Kambhampati
arXiv preprint arXiv:2402.04210, 2024
NatSGD: A Dataset with Speech, Gestures, and Demonstrations for Robot Learning in Natural Human-Robot Interaction
S Shrestha, Y Zha, G Gao, C Fermuller, Y Aloimonos
AAAI-23 Workshop on User-Centric Artificial Intelligence for Assistance in …, 2023
Plan-recognition-driven attention modeling for visual recognition
Y Zha, Y Li, T Yu, S Kambhampati, B Li
AAAI 2019 Workshop on Plan, Activity, and Intent Recognition (PAIR), 2018
Perceiving, Planning, Acting, and Self-Explaining: A Cognitive Quartet with Four Neural Networks
Y Zha
Arizona State University, 2022
Discovering Underlying Plans Based on Shallow Models
H Hankui Zhuo, Y Zha, S Kambhampati
arXiv e-prints, arXiv: 1803.02208, 2018
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