← Authors

Guiliang Liu

23 papers · 2018–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (21) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (5) 🀝 Dynamic Duo (12) 🧬 Topic Evolution ⚑ Prolific Year (7) πŸ’Ž Century Club (23) πŸ—ƒοΈ Keyword Collector (54) πŸ”₯ Unstoppable (6)

Conferences

ICLR (8) ICML (5) NIPS (5) AISTATS (1) CVPR (1) ECCV (1) IJCAI (1) RSS (1)

Top co-authors

Pascal Poupart (12) Oliver Schulte (6) Bo Yue (4) Yudong Luo (4) Sheng Xu (4) Kasra Rezaee (3) Kui Jia (3) Ashish Gaurav (3) Yueci Deng (2) Xiangyu Sun (2)

Keywords

player evaluation (2) deep reinforcement learning (2) policy optimization (2) representation learning (1) imitation learning (1) temporal learning (1) reinforcement learning (1) policy gradient (1) structure learning (1) uncertainty quantification (1) epistemic uncertainty (1) multi-modal learning (1) learning from demonstration (1) action-value function (1) collision avoidance (1) information bottleneck (1) latent variable (1) convolutional neural network (1) long short-term memory (1) contrastive learning (1)

Papers

Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers ICLR 2025
DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control ICML 2025
A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations ICLR 2025
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning ICML 2025
Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning ICLR 2025
You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations RSS 2025
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions CVPR 2025
Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation ICML 2024
Confidence Aware Inverse Constrained Reinforcement Learning ICML 2024
Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model ECCV 2024
Robust Inverse Constrained Reinforcement Learning under Model Misspecification ICML 2024
Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning ICLR 2024
Learning Soft Constraints From Constrained Expert Demonstrations ICLR 2023
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations NIPS 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NIPS 2023
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge AISTATS 2023
Benchmarking Constraint Inference in Inverse Reinforcement Learning ICLR 2023
Learning Object-Oriented Dynamics for Planning from Text ICLR 2022
Distributional Reinforcement Learning with Monotonic Splines ICLR 2022
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NIPS 2022
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NIPS 2021
Learning Agent Representations for Ice Hockey NIPS 2020
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation IJCAI 2018