Ruijie Zheng
19 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
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Conferences
ICLR (8)
ICML (5)
CORL (2)
NIPS (2)
CVPR (1)
ICCV (1)
Top co-authors
Keywords
representation learning
(1)
contrastive learning
(1)
reinforcement learning
(1)
zero-shot learning
(1)
sample efficiency
(1)
adversarial robustness
(1)
imitation learning
(1)
policy optimization
(1)
self-supervised learning
(1)
multimodal learning
(1)
visual grounding
(1)
visual reinforcement learning
(1)
robust reinforcement learning
(1)
continuous control
(1)
state representation
(1)
robot manipulation
(1)
adversarial perturbation
(1)
foundation model
(1)
robust training
(1)
agent system
(1)
Papers
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
ICLR 2025
DreamGen: Unlocking Generalization in Robot Learning through Video World Models
CORL 2025
Magma: A Foundation Model for Multimodal AI Agents
CVPR 2025
FLARE: Robot Learning with Implicit World Modeling
CORL 2025
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
ICML 2025
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
ICLR 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
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
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
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
ICLR 2023
$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
NIPS 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
NIPS 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