Yao Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Temporal Difference

Exploration Exploitation

Parametric Models

Reinforcement Learning

Top Venues

Publications

Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. CoRR (2024)
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR (2024)
Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor
Learning the Target Network in Function Space. CoRR (2024)
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective. CoRR (2023)
Yao Liu, Pratik Chaudhari, Rasool Fakoor
Budgeting Counterfactual for Offline RL. CoRR (2023)
Yao Liu, Pratik Chaudhari, Rasool Fakoor
Budgeting Counterfactual for Offline RL. NeurIPS (2023)
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective. NeurIPS (2023)
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR (2023)
Yao Liu, Yannis Flet-Berliac, Emma Brunskill
Offline policy optimization with eligible actions. UAI (2022)
Yao Liu, Yannis Flet-Berliac, Emma Brunskill
Offline Policy Optimization with Eligible Actions. CoRR (2022)
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration. NeurIPS (2020)
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
Provably Good Batch Reinforcement Learning Without Great Exploration. CoRR (2020)
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. CoRR (2020)
Yao Liu, Pierre-Luc Bacon, Emma Brunskill
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling. ICML (2020)
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo A. Celi, Emma Brunskill, Finale Doshi-Velez
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. ICML (2020)
Benjamin Petit, Loren Amdahl-Culleton, Yao Liu, Jimmy Smith, Pierre-Luc Bacon
All-Action Policy Gradient Methods: A Numerical Integration Approach. CoRR (2019)
Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez
Combining parametric and nonparametric models for off-policy evaluation. ICML (2019)
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
Off-Policy Policy Gradient with Stationary Distribution Correction. UAI (2019)
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
Off-Policy Policy Gradient with State Distribution Correction. CoRR (2019)
Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez
Combining Parametric and Nonparametric Models for Off-Policy Evaluation. CoRR (2019)
Yao Liu, Pierre-Luc Bacon, Emma Brunskill
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling. CoRR (2019)
Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters. CoRR (2018)
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill
Representation Balancing MDPs for Off-Policy Policy Evaluation. CoRR (2018)
Yao Liu, Emma Brunskill
When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms. CoRR (2018)
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill
Representation Balancing MDPs for Off-policy Policy Evaluation. NeurIPS (2018)
Yao Liu, Zhaohan Guo, Emma Brunskill
PAC Continuous State Online Multitask Reinforcement Learning with Identification. AAMAS (2016)