conftrace_
← Authors

Guiliang Liu

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

Achievements

Jump to papers ↓
+9 more ↓ 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (12)
🌍 Conference Polyglot (8) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (5) 🤝 Dynamic Duo (12) 🧬 Topic Evolution ⚡ Prolific Year (7) 💎 Century Club (23) 🗃️ Keyword Collector (54) 🔥 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