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Xianyuan Zhan

31 papers · 2021–2025 · 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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+11 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (40) 🀝 Dynamic Duo (13)
🀝 Dynamic Duo (13) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ† Grand Slam 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (130)

Venues

ICLR (10) ICML (6) NeurIPS (6) AAAI (4) IJCAI (2) CoRL (1) CVPR (1) ECCV (1)

Top co-authors

Haoran Xu (13) Jianxiong Li (12) Yinan Zheng (8) Jingjing Liu (8) Haoyi Niu (7) Ya-Qin Zhang (5) Jinliang Zheng (5) Xiangyu Zhu (5) Liyuan Mao (4) Jianming HU (4)

Research topics

Reinforcement Learning (19) Methods (18) Machine Learning (17) Artificial Intelligence (15) Learning Types Β· Machine Learning (12) Deep Learning (10) Core AI (9) Learning Paradigms (6) Learning Types Β· Deep Learning (5) Robotics (3) Application Areas (3) Applications Β· Reinforcement Learning (3) Models (3) Applications Β· Robotics (2) Optimization & Theory (2)

Keywords

offline reinforcement learning (16) policy learning (6) policy optimization (4) imitation learning (3) diffusion model (3) sample efficiency (3) model-based learning (2) sim-to-real transfer (2) dynamics model (2) safe reinforcement learning (2) offline imitation learning (2) few-shot learning (1) domain adaptation (1) data augmentation (1) transfer learning (1) adversarial learning (1) reinforcement learning (1) spatio-temporal modeling (1) instruction following (1) visual grounding (1)

Papers

Are Expressive Models Truly Necessary for Offline RL? AAAI 2025 Data Center Cooling System Optimization Using Offline Reinforcement Learning ICLR 2025 Diffusion-Based Planning for Autonomous Driving with Flexible Guidance ICLR 2025 Efficient Robotic Policy Learning via Latent Space Backward Planning ICML 2025 Skill Expansion and Composition in Parameter Space ICLR 2025 Universal Actions for Enhanced Embodied Foundation Models CVPR 2025 A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents IJCAI 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning ICML 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning NeurIPS 2024 Instruction-Guided Visual Masking NeurIPS 2024 ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update ICLR 2024 Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL ICML 2024 OMPO: A Unified Framework for RL under Policy and Dynamics Shifts ICML 2024 OpenChat: Advancing Open-source Language Models with Mixed-Quality Data ICLR 2024 Query-Policy Misalignment in Preference-Based Reinforcement Learning ICLR 2024 Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model ICLR 2024 Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic ICML 2024 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NeurIPS 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization NeurIPS 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization ICLR 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning ICLR 2023 Adversarial Contrastive Learning via Asymmetric InfoNCE ECCV 2022 A Policy-Guided Imitation Approach for Offline Reinforcement Learning NeurIPS 2022 Constraints Penalized Q-learning for Safe Offline Reinforcement Learning AAAI 2022 DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022 Discriminator-Guided Model-Based Offline Imitation Learning CoRL 2022 Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations ICML 2022 Model-Based Offline Planning with Trajectory Pruning IJCAI 2022 When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning NeurIPS 2022 Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning AAAI 2021