Yitao Liang

发表

State of the Art Control of Atari Games Using Shallow Reinforcement Learning pdf

Marlos C. Machado, Erik Talvitie, Michael H. Bowling, 2015, AAMAS.

Representations and Control in Atari Games Using Reinforcement Learning

Yitao Liang, 2016 .

A S EMANTIC L OSS F UNCTION FOR D EEP L EARNING WITH S YMBOLIC K NOWLEDGE

Guy Van den Broeck, Yitao Liang, Jingyi Xu, 2017 .

Pharmacological mechanisms of sodium-glucose co-transporter 2 inhibitors in heart failure with preserved ejection fraction

Yitao Liang, Bo Liang, Ning Gu, 2022, BMC Cardiovascular Disorders.

An electrochemical immunosensor for global DNA methylation determination using magnetic bead-based enrichment and enzymatic amplification

Yitao Liang, B. Liang, X. Ye, 2021, 2021 IEEE Sensors.

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation

Jian Peng, Jianzhu Ma, Yitao Liang, 2022, NeurIPS.

Horizon: Facebook's Open Source Applied Reinforcement Learning Platform pdf

Xiaohui Ye, Yitao Liang, Vivek Narayanan, 2018, ArXiv.

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction

Yitao Liang, Zihao Wang, Xiaojian Ma, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Yitao Liang, Zihao Wang, Xiaojian Ma, 2023, ArXiv.

Learning the Structure of Probabilistic Sentential Decision Diagrams

Guy Van den Broeck, Yitao Liang, Jessa Bekker, 2017, UAI.

Theory on Forgetting and Generalization of Continual Learning

N. Shroff, Yitao Liang, Sen Lin, 2023, ICML.

Algorithm Design for Online Meta-Learning with Task Boundary Detection

Yitao Liang, Sen Lin, Junshan Zhang, 2023, ArXiv.

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks

A. Arora, S. Shakkottai, Gauri Joshi, 2022, 2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC).

Theoretical Hardness and Tractability of POMDPs in RL with Partial Hindsight State Information

N. Shroff, Yitao Liang, Ming Shi, 2023, ArXiv.

Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs

J. Yang, Yitao Liang, Yuan Cheng, 2023, ICLR.

A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints

N. Shroff, Yitao Liang, Ming Shi, 2023, arXiv.org.

N EAR -O PTIMAL A DVERSARIAL R EINFORCEMENT L EARNING WITH S WITCHING C OSTS

N. Shroff, Yitao Liang, Ming Shi, 2023 .

M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation

Yitao Liang, Zhangyang Wang, Junjie Yang, 2023, International Conference on Learning Representations.

Model-Free Algorithm with Improved Sample Efficiency for Zero-Sum Markov Games

J. Yang, Yitao Liang, Songtao Feng, 2023, 2308.08858.

Non-stationary Reinforcement Learning under General Function Approximation

J. Yang, Yitao Liang, Songtao Feng, 2023, ICML.

Guanxin V Acts as an Antioxidant in Ventricular Remodeling

Yitao Liang, Bo Liang, Rui Li, 2022, Frontiers in Cardiovascular Medicine.

Provably Efficient UCB-type Algorithms For Learning Predictive State Representations

J. Yang, Yitao Liang, Ruiquan Huang, 2023, ArXiv.

Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning

N. Shroff, Yitao Liang, Peizhong Ju, 2023, ICLR.

ProAgent: Building Proactive Cooperative AI with Large Language Models

Yaodong Yang, Yitao Liang, F. Yin, 2023, ArXiv.

Learning to Generalize Provably in Learning to Optimize

Yitao Liang, Zhangyang Wang, Fengxiang He, 2023, AISTATS.

Provably Efficient Algorithm for Nonstationary Low-Rank MDPs

J. Yang, Yitao Liang, Yuan Cheng, 2023, NeurIPS.

Non-Convex Bilevel Optimization with Time-Varying Objective Functions

N. Shroff, Yitao Liang, Kaiyi Ji, 2023, NeurIPS.

Doubly Robust Instance-Reweighted Adversarial Training

Yitao Liang, Daouda Sow, Zhangyang Wang, 2023, ArXiv.

COVID-19 susceptibility and severity for dyslipidemia: A mendelian randomization investigation

Yitao Liang, Bo Liang, Liang Liu, 2023, Heliyon.

Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes

N. Shroff, Yitao Liang, M. Squillante, 2023, ArXiv.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Diego Perez Liebana, William H. Guss, Alec Radford, 2022 .

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction

Yitao Liang, Zihao Wang, Xiaojian Ma, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Yaodong Yang, Yitao Liang, F. Yin, 2023, AAAI.

Effective long-term tracking with contrast optimizer

Yitao Liang, Yongbo Han, 2023, Machine Vision and Applications.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Yitao Liang, Zihao Wang, Xiaojian Ma, 2023, ArXiv.

Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits

Guy Van den Broeck, Yitao Liang, Anji Liu, 2023, ICML.