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Guiliang Liu

24 papers · 2018–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (38) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (12) 🧬 Topic Evolution πŸ† Keyword Champion (4) 🧭 Keyword Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (110) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

ICLR (8) ICML (5) NeurIPS (5) CVPR (2) AISTATS (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) Jian Li (2) Yueci Deng (2)

Research topics

Artificial Intelligence (16) Machine Learning (16) Reinforcement Learning (14) Core AI (13) Methods (12) Learning Types Β· Machine Learning (11) Deep Learning (4) Robotics (4) Applications (4) Capabilities (4) Core Methods (4) Bayesian & Probabilistic (3) Optimization & Theory (3) Learning Paradigms (2) Learning Types Β· Deep Learning (2)

Keywords

inverse constrained reinforcement learning (7) constraint inference (5) expert demonstration (4) inverse reinforcement learning (3) safe control (3) uncertainty quantification (3) epistemic uncertainty (2) reinforcement learning (2) player evaluation (2) aleatoric uncertainty (2) policy optimization (2) sample complexity (2) imitation learning (2) deep reinforcement learning (2) multi-task learning (1) structure learning (1) policy gradient (1) model-based planning (1) information bottleneck (1) constrained optimization (1)

Papers

CycleManip: Enabling Cycle-based Manipulation via Effective History Perception and Understanding CVPR 2026 A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations ICLR 2025 DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control ICML 2025 Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions CVPR 2025 Provably Efficient Exploration in Inverse Constrained Reinforcement Learning ICML 2025 Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers ICLR 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 Confidence Aware Inverse Constrained Reinforcement Learning ICML 2024 Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation 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 An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NeurIPS 2023 Benchmarking Constraint Inference in Inverse Reinforcement Learning ICLR 2023 Learning Soft Constraints From Constrained Expert Demonstrations ICLR 2023 Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations NeurIPS 2023 NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge AISTATS 2023 Distributional Reinforcement Learning with Monotonic Splines ICLR 2022 Learning Object-Oriented Dynamics for Planning from Text ICLR 2022 Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NeurIPS 2022 Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NeurIPS 2021 Learning Agent Representations for Ice Hockey NeurIPS 2020 Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation IJCAI 2018