Ruijie Zheng

19 papers · 2022–2025 · 6 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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🗺️ Taxonomy Completionist (30) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 👥 Mega-Team · Squad

🤝 Dynamic Duo (15) 👥 Mega-Team · Squad ⚡ Prolific Year · Productive ❓ The Questioner (3) 💎 Century Club · Bronze 🗃️ Keyword Collector (93)

Venues

ICLR (8) ICML (5) CoRL (2) NeurIPS (2) CVPR (1) ICCV (1)

Top co-authors

Furong Huang (15) Yongyuan Liang (9) Yanchao Sun (9) Huazhe Xu (7) Xiyao Wang (7) Hal Daume III (5) Joel Jang (3) Shuang Ma (3) Yu Luo (3) Seonghyeon Ye (3)

Research topics

Reinforcement Learning (14) Methods (13) Artificial Intelligence (10) Core AI (10) Machine Learning (7) Deep Learning (6) Robotics (5) Capabilities (5) Learning Types · Deep Learning (4) Learning Types · Machine Learning (4) Applications (2) Models (2) Optimization & Theory (2) Core Methods (1) Learning Paradigms (1)

Keywords

continuous control (7) reinforcement learning (4) sample efficiency (4) generalization (3) adversarial perturbation (3) visual reinforcement learning (2) model-based reinforcement learning (2) policy learning (2) adversarial robustness (1) policy gradient (1) contrastive learning (1) sequential decision making (1) self-supervised learning (1) multimodal learning (1) game theory (1) transfer learning (1) zero-shot learning (1) adversarial training (1) model predictive control (1) policy optimization (1)

Papers

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control ICML 2025 DreamGen: Unlocking Generalization in Robot Learning through Video World Models CoRL 2025 FLARE: Robot Learning with Implicit World Modeling CoRL 2025 Magma: A Foundation Model for Multimodal AI Agents CVPR 2025 TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies ICLR 2025 ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization ICML 2024 Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate ICML 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations ICLR 2024 Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss ICML 2024 PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control ICML 2024 TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NeurIPS 2023 Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication ICLR 2023 Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training ICCV 2023 Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023 Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning NeurIPS 2022 Transfer RL across Observation Feature Spaces via Model-Based Regularization ICLR 2022 Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL ICLR 2022