Tsung-Yen Yang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Approximate Policy Iteration

Legged Locomotion

Reinforcement Learning

Concave Convex Procedure

Top Venues

Publications

So Yeon Min, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Akshara Rai, Priyam Parashar, Ruslan Salakhutdinov, Yonatan Bisk, Roozbeh Mottaghi
Situated Instruction Following. CoRR (2024)
Tu-Liang Lin, Hong-Yi Chang, Yuan-Yao Chiang, Shu-Cheng Lin, Tsung-Yen Yang, Chun-Jun Zhuang, Wha-Lee Tseng, Bo-Hao Zhang
Ransomware Detection by Distinguishing API Call Sequences through LSTM and BERT Models. Comput. J. 67 (2) (2024)
Naoki Yokoyama, Alexander Clegg, Joanne Truong, Eric Undersander, Tsung-Yen Yang, Sergio Arnaud, Sehoon Ha, Dhruv Batra, Akshara Rai
ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation. IEEE Robotics Autom. Lett. 9 (1) (2024)
Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR (2024)
Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR (2024)
Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. IEEE/ACM Trans. Netw. 31 (5) (2023)
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRR (2023)
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRL (2023)
Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR (2023)
Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. CoRR (2023)
Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar
Leveraging Language for Accelerated Learning of Tool Manipulation. CoRR (2022)
Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar
Leveraging Language for Accelerated Learning of Tool Manipulation. CoRL (2022)
Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu
Safe Reinforcement Learning for Legged Locomotion. IROS (2022)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Learning Physics Constrained Dynamics Using Autoencoders. NeurIPS (2022)
Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu
Safe Reinforcement Learning for Legged Locomotion. CoRR (2022)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. ICML (2021)
Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
Safe Reinforcement Learning with Natural Language Constraints. NeurIPS (2021)
Tsung-Yen Yang, Michael Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
Safe Reinforcement Learning with Natural Language Constraints. CoRR (2020)
Tsung-Yen Yang, Karthik Narasimhan
Robust and Interpretable Grounding of Spatial References with Relation Networks. CoRR (2020)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Projection-Based Constrained Policy Optimization. CoRR (2020)
Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan
Robust and Interpretable Grounding of Spatial References with Relation Networks. EMNLP (Findings) (2020)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Projection-Based Constrained Policy Optimization. ICLR (2020)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. CoRR (2020)
Patrick Hansen, Richard Junior Bustamante, Tsung-Yen Yang, Elizabeth Tenorio, Christopher G. Brinton, Mung Chiang, Andrew S. Lan
Predicting the Timing and Quality of Responses in Online Discussion Forums. ICDCS (2019)
Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan
Active Learning for Student Affect Detection. EDM (2019)
Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong
Predicting Learner Interactions in Social Learning Networks. INFOCOM (2018)
Madhumitha Shridharan, Ashley Willingham, Jonathan C. Spencer, Tsung-Yen Yang, Christopher G. Brinton
Predictive learning analytics for video-watching behavior in MOOCs. CISS (2018)
Tsung-Yen Yang, Christopher G. Brinton, Prateek Mittal, Mung Chiang, Andrew S. Lan
Learning Informative and Private Representations via Generative Adversarial Networks. IEEE BigData (2018)
Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong, Mung Chiang
Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks. IEEE J. Sel. Top. Signal Process. 11 (5) (2017)
Andrew S. Lan, Christopher G. Brinton, Tsung-Yen Yang, Mung Chiang
Behavior-Based Latent Variable Model for Learner Engagement. EDM (2017)