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Xianyuan Zhan

31 papers · 2021–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (25) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🐝 Cross-Pollinator (12) 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (2) ❓ The Questioner πŸ’Ž Century Club (31) πŸ—ƒοΈ Keyword Collector (65) ⚑ Prolific Year (8) πŸ”₯ Unstoppable (5)

Conferences

ICLR (10) ICML (6) NIPS (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)

Keywords

offline reinforcement learning (10) policy optimization (3) sim-to-real transfer (2) model-based learning (2) imitation learning (2) offline imitation learning (2) dynamics model (2) policy learning (1) data augmentation (1) sample efficiency (1) domain adaptation (1) transfer learning (1) few-shot learning (1) visual grounding (1) robot learning (1) spatio-temporal modeling (1) instruction following (1) behavior cloning (1) value function (1) adversarial learning (1)

Papers

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