Bo Liu
Associate Professor of Electrical and Computer Engineering
Bo Liu is an associate professor in the ECE department. He holds a PhD from the University of Massachusetts Amherst. He previously worked at Amazon Research, Auburn University, and Philips Research. Liu researches decision-making and neural-symbolic artificial intelligence. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for the Advancement of Artificial Intelligence (AAAI), and an associate editor of Machine Learning Journal (Springer). He has co-authored over 25 journal papers, 20 conference papers, and one patent application.
Degrees
- PhD Computer Science, University of Massachusetts, Amherst
- MS Computer Science, Stevens Institute of Technology
- MS Control Engineering, University of Science and Technology of China
Teaching Interests
AI, machine learning and data analysis
Research Interests
Reinforcement learning and control, explainable AI, safe AI
Most Significant Publications
- Zhang S., Liu B., Whiteson S. Provably Convergent Off-Policy Actor-Critic with Function Approximation. 37th International Conference on Machine Learning (ICML). 2020 July 01.
- Zhang S., Liu B., Whiteson S. Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning. 35th AAAI Conference on Artificial Intelligence (AAAI). 2021 February 01.
- Liu B., Gemp I., Ghavamzadeh M., Liu J., Mahadevan S., Petrik M. Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. Journal of Artificial Intelligence (JAIR). 2018 November 01.
- Gupta D., Jordan S.M., Chaudhari S., Liu B., Thomas P.S., Silva B. Castro da. From Past To Future: Rethinking Eligibility Traces. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2024 March 01.
- Zhang S., Liu B., Whiteson S. Gradientdice: Rethinking generalized offline estimation of stationary values. 37th International Conference on Machine Learning (ICML). 2020 July 01.
- Liu B., Xie T., Xu Y., Ghavamzadeh M., Chow Y., Lyu D., Yoon D. A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. 32nd Advances in Neural Information Processing Systems (NeurIPS). 2018 December 01.
Awards
- 2023 AAAI Senior Membership election
- 2022 Best and Visionary Paper Award at AAMAS-22
- 2018 Amazon Research Award, Amazon Inc.
- 2017 Tencent Rhino-Bird Award, Tencent AI Lab
- 2015 Facebook Best Student Paper Award of UAI 2015