Improvement of Au cantilever fabrication process with Cu as a sacrificial layer. - Qiang Liu 001; Bo Liu 042; Zhihong Li (NEMS, 2009)

Predicting pregnancy using large-scale data from a women's health tracking mobile application. - Bo Liu 042; Shuyang Shi; Yongshang Wu; Daniel Thomas; Laura Symul; Emma Pierson; Jure Leskovec (CoRR, 2018)

Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. - Bo Liu 042; Shuyang Shi; Yongshang Wu; Daniel Thomas; Laura Symul; Emma Pierson; Jure Leskovec (WWW, 2019)

Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. - Yunbo Wang; Bo Liu 042; Jiajun Wu 001; Yuke Zhu; Simon S. Du; Li Fei-Fei 001; Joshua B. Tenenbaum (CoRR, 2019)

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. - Yunbo Wang; Bo Liu 042; Jiajun Wu 001; Yuke Zhu; Simon S. Du; Li Fei-Fei 001; Joshua B. Tenenbaum (IJCAI, 2020)

Human Gaze Assisted Artificial Intelligence: A Review. - Ruohan Zhang; Akanksha Saran; Bo Liu 042; Yifeng Zhu; Sihang Guo; Scott Niekum; Dana H. Ballard; Mary M. Hayhoe (IJCAI, 2020)

Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. - Lemeng Wu; Bo Liu 042; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2020)

Lifelong Navigation. - Bo Liu 042; Xuesu Xiao; Peter Stone 001 (CoRR, 2020)

Extended Abstract: Motion Planners Learned from Geometric Hallucination. - Xuesu Xiao; Bo Liu 042; Peter Stone 001 (CoRR, 2020)

Human versus Machine Attention in Deep Reinforcement Learning Tasks. - Ruohan Zhang; Bo Liu 042; Yifeng Zhu; Sihang Guo; Mary M. Hayhoe; Dana H. Ballard; Peter Stone 001 (CoRR, 2020)

Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (CoRR, 2020)

APPLD: Adaptive Planner Parameter Learning From Demonstration. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Jonathan Fink; Peter Stone 001 (IEEE Robotics Autom. Lett., 2020)

Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. - Bo Liu 042; Qiang Liu 001; Peter Stone 001; Animesh Garg; Yuke Zhu; Anima Anandkumar (ICML, 2021)

APPLI: Adaptive Planner Parameter Learning From Interventions. - Zizhao Wang; Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (ICRA, 2021)

Agile Robot Navigation through Hallucinated Learning and Sober Deployment. - Xuesu Xiao; Bo Liu 042; Peter Stone 001 (ICRA, 2021)

APPLR: Adaptive Planner Parameter Learning from Reinforcement. - Zifan Xu; Gauraang Dhamankar; Anirudh Nair; Xuesu Xiao; Garrett Warnell; Bo Liu 042; Zizhao Wang; Peter Stone 001 (ICRA, 2021)

Team Orienteering Coverage Planning with Uncertain Reward. - Bo Liu 042; Xuesu Xiao; Peter Stone 001 (IROS, 2021)

Machine versus Human Attention in Deep Reinforcement Learning Tasks. - Sihang Guo; Ruohan Zhang; Bo Liu 042; Yifeng Zhu; Dana H. Ballard; Mary M. Hayhoe; Peter Stone 001 (NeurIPS, 2021)

Conflict-Averse Gradient Descent for Multi-task learning. - Bo Liu 042; Xingchao Liu; Xiaojie Jin; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2021)

UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions. - Patrick MacAlpine; Bo Liu 042; William Macke; Caroline Wang; Peter Stone 001 (RoboCup, 2021)

A Lifelong Learning Approach to Mobile Robot Navigation. - Bo Liu 042; Xuesu Xiao; Peter Stone 001 (IEEE Robotics Autom. Lett., 2021)

Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (IEEE Robotics Autom. Lett., 2021)

Continual Learning and Private Unlearning. - Bo Liu 042; Qiang Liu 001; Peter Stone 001 (CoLLAs, 2022)

A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects. - Shahaf S. Shperberg; Bo Liu 042; Alessandro Allievi; Peter Stone 001 (CoLLAs, 2022)

Offline training of multi-agent reinforcement agents for grid-interactive buildings control. - Kingsley Nweye; Zoltán Nagy 002; Bo Liu 042; Peter Stone 001 (e-Energy, 2022)

Effective mutation rate adaptation through group elite selection. - Akarsh Kumar; Bo Liu 042; Risto Miikkulainen; Peter Stone 001 (GECCO, 2022)

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach. - Bo Liu 042; Mao Ye 006; Stephen Wright; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2022)

Motion planning and control for mobile robot navigation using machine learning: a survey. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (Auton. Robots, 2022)

Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake. - Shahaf S. Shperberg; Bo Liu 042; Peter Stone 001 (CoRR, 2022)

Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning. - Bo Liu 042; Yihao Feng; Qiang Liu 001; Peter Stone 001 (CoRR, 2022)

APPL: Adaptive Planner Parameter Learning. - Xuesu Xiao; Zizhao Wang; Zifan Xu; Bo Liu 042; Garrett Warnell; Gauraang Dhamankar; Anirudh Nair; Peter Stone 001 (Robotics Auton. Syst., 2022)

Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. - Bo Liu 042; Yihao Feng; Qiang Liu 001; Peter Stone 001 (AAAI, 2023)

Relaxed Exploration Constrained Reinforcement Learning. - Shahaf S. Shperberg; Bo Liu 042; Peter Stone 001 (AAMAS, 2023)

Model-Based Meta Automatic Curriculum Learning. - Zifan Xu; Yulin Zhang; Shahaf S. Shperberg; Reuth Mirsky; Yuqian Jiang; Bo Liu 042; Peter Stone 001 (CoLLAs, 2023)

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. - Zifan Xu; Bo Liu 042; Xuesu Xiao; Anirudh Nair; Peter Stone 001 (ICRA, 2023)

FAMO: Fast Adaptive Multitask Optimization. - Bo Liu 042; Yihao Feng; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2023)

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. - Bo Liu 042; Yifeng Zhu; Chongkai Gao; Yihao Feng; Qiang Liu 001; Yuke Zhu; Peter Stone 001 (NeurIPS, 2023)

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency. - Bo Liu 042; Yuqian Jiang; Xiaohan Zhang 002; Qiang Liu 001; Shiqi Zhang 001; Joydeep Biswas; Peter Stone 001 (CoRR, 2023)

Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. - William Yue; Bo Liu 042; Peter Stone 001 (AAMAS, 2024)

t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. - William Yue; Bo Liu 042; Peter Stone 001 (CoLLAs, 2024)

Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts. - Lizhang Chen; Bo Liu 042; Kaizhao Liang; Qiang Liu 001 (ICLR, 2024)

AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies. - Xixi Hu 001; Qiang Liu 001; Xingchao Liu; Bo Liu 042 (NeurIPS, 2024)

Memory-Efficient LLM Training with Online Subspace Descent. - Kaizhao Liang; Bo Liu 042; Lizhang Chen; Qiang Liu 001 (NeurIPS, 2024)

Communication Efficient Distributed Training with Distributed Lion. - Bo Liu 042; Lemeng Wu; Lizhang Chen; Kaizhao Liang; Jiaxu Zhu; Chen Liang; Raghuraman Krishnamoorthi; Qiang Liu 001 (NeurIPS, 2024)

H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent. - Son Nguyen; Lizhang Chen; Bo Liu 042; Qiang Liu 001 (CoRR, 2024)

Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting. - Bo Liu 042; Mao Ye 006; Peter Stone 001; Qiang Liu 001 (CoRR, 2024)

Learning Memory Mechanisms for Decision Making through Demonstrations. - William Yue; Bo Liu 042; Peter Stone 001 (CoRR, 2024)

Cautious Optimizers: Improving Training with One Line of Code. - Kaizhao Liang; Lizhang Chen; Bo Liu 042; Qiang Liu 001 (CoRR, 2024)

SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization. - Runsheng Bai; Bo Liu 042; Qiang Liu 001 (CoRR, 2024)

Memory-Efficient Optimization with Factorized Hamiltonian Descent. - Son Nguyen; Lizhang Chen; Bo Liu 042; Qiang Liu 001 (AISTATS, 2025)

AMO Sampler: Enhancing Text Rendering with Overshooting. - Xixi Hu 001; Keyang Xu; Bo Liu 042; Qiang Liu 001; Hongliang Fei (CVPR, 2025)

Longhorn: State Space Models are Amortized Online Learners. - Bo Liu 042; Rui Wang; Lemeng Wu; Yihao Feng; Peter Stone 001; Qiang Liu 001 (ICLR, 2025)

Improving Adaptive Moment Optimization via Preconditioner Diagonalization. - Son Nguyen; Bo Liu 042; Lizhang Chen; Qiang Liu 001 (CoRR, 2025)

Improving Rectified Flow with Boundary Conditions. - Xixi Hu 001; Runlong Liao; Keyang Xu; Bo Liu 042; Yeqing Li; Eugene Ie; Hongliang Fei; Qiang Liu 001 (CoRR, 2025)

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks. - Viraj Joshi; Zifan Xu; Bo Liu 042; Peter Stone 001; Amy Zhang 001 (CoRR, 2025)

L3M+P: Lifelong Planning with Large Language Models. - Krish Agarwal; Yuqian Jiang; Jiaheng Hu; Bo Liu 042; Peter Stone 001 (CoRR, 2025)