Guiliang Liu

Affiliations

Simon Fraser University

papers

total citations

papers (10)

An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient

NEURIPS 2023arXiv

citations

Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model

ECCV 2024

citations

Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations

NEURIPS 2023

citations

Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning

NEURIPS 2021

citations

Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation

ICML 2024

citations

Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game

NEURIPS 2022

citations

Robust Inverse Constrained Reinforcement Learning under Model Misspecification

ICML 2024

citations

Guiliang Liu

Affiliations

papers (10)

An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient

Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model

Confidence Aware Inverse Constrained Reinforcement Learning

Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions

Learning Agent Representations for Ice Hockey

Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations

Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning

Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation

Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game

Robust Inverse Constrained Reinforcement Learning under Model Misspecification

papers (10)

An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient

Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model

Confidence Aware Inverse Constrained Reinforcement Learning

Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions

Learning Agent Representations for Ice Hockey

Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations

Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning

Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation

Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game

Robust Inverse Constrained Reinforcement Learning under Model Misspecification