Bo Liu

According to our database, Bo Liu authored at least 46 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting.

Bo Liu, Mao Ye, Peter Stone, Qiang Liu

CoRR, 2024

Memory-Efficient LLM Training with Online Subspace Descent.

Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu

CoRR, 2024

Longhorn: State Space Models are Amortized Online Learners.

Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu

CoRR, 2024

H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent.

Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu

CoRR, 2024

Communication Efficient Distributed Training with Distributed Lion.

Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu

CoRR, 2024

AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies.

Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu

CoRR, 2024

t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making.

William Yue, Bo Liu, Peter Stone

CoRR, 2024

Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts.

Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making.

William Yue, Bo Liu, Peter Stone

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone

CoRR, 2023

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FAMO: Fast Adaptive Multitask Optimization.

Bo Liu, Yihao Feng, Peter Stone, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation.

Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Model-Based Meta Automatic Curriculum Learning.

Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone

Proceedings of the Conference on Lifelong Learning Agents, 2023

Relaxed Exploration Constrained Reinforcement Learning.

Shahaf S. Shperberg, Bo Liu, Peter Stone

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning.

Bo Liu, Yihao Feng, Qiang Liu, Peter Stone

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

APPL: Adaptive Planner Parameter Learning.

Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone

Robotics Auton. Syst., 2022

Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning.

Bo Liu, Yihao Feng, Qiang Liu, Peter Stone

CoRR, 2022

Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake.

Shahaf S. Shperberg, Bo Liu, Peter Stone

CoRR, 2022

Motion planning and control for mobile robot navigation using machine learning: a survey.

Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone

Auton. Robots, 2022

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach.

Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effective mutation rate adaptation through group elite selection.

Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Offline training of multi-agent reinforcement agents for grid-interactive buildings control.

Kingsley Nweye, Zoltán Nagy, Bo Liu, Peter Stone

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects.

Shahaf S. Shperberg, Bo Liu, Alessandro Allievi, Peter Stone

Proceedings of the Conference on Lifelong Learning Agents, 2022

Continual Learning and Private Unlearning.

Bo Liu, Qiang Liu, Peter Stone

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination.

Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone

IEEE Robotics Autom. Lett., 2021

A Lifelong Learning Approach to Mobile Robot Navigation.

Bo Liu, Xuesu Xiao, Peter Stone

IEEE Robotics Autom. Lett., 2021

UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions.

Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, Peter Stone

Proceedings of the RoboCup 2021: Robot World Cup XXIV, 2021

Conflict-Averse Gradient Descent for Multi-task learning.

Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Machine versus Human Attention in Deep Reinforcement Learning Tasks.

Sihang Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Dana H. Ballard, Mary M. Hayhoe, Peter Stone

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Team Orienteering Coverage Planning with Uncertain Reward.

Bo Liu, Xuesu Xiao, Peter Stone

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

APPLR: Adaptive Planner Parameter Learning from Reinforcement.

Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Agile Robot Navigation through Hallucinated Learning and Sober Deployment.

Xuesu Xiao, Bo Liu, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

APPLI: Adaptive Planner Parameter Learning From Interventions.

Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition.

Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

APPLD: Adaptive Planner Parameter Learning From Demonstration.

Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone

IEEE Robotics Autom. Lett., 2020

Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey.

Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone

CoRR, 2020

Human versus Machine Attention in Deep Reinforcement Learning Tasks.

Ruohan Zhang, Bo Liu, Yifeng Zhu, Sihang Guo, Mary M. Hayhoe, Dana H. Ballard, Peter Stone

CoRR, 2020

Extended Abstract: Motion Planners Learned from Geometric Hallucination.

Xuesu Xiao, Bo Liu, Peter Stone

CoRR, 2020

Lifelong Navigation.

Bo Liu, Xuesu Xiao, Peter Stone

CoRR, 2020

Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks.

Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Human Gaze Assisted Artificial Intelligence: A Review.

Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana H. Ballard, Mary M. Hayhoe

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs.

Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs.

Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum

CoRR, 2019

Predicting pregnancy using large-scale datafrom a women's health tracking mobile application.

Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec

Proceedings of the World Wide Web Conference, 2019

2018

Predicting pregnancy using large-scale data from a women's health tracking mobile application.

Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec

CoRR, 2018