Ruijie Zheng

According to our database¹, Ruijie Zheng authored at least 31 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data.

[BibT_eX]

[DOI]

CoRR, February, 2026

World Action Models are Zero-shot Policies.

[BibT_eX]

[DOI]

CoRR, February, 2026

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

Provably Learning from Language Feedback.

[BibT_eX]

[DOI]

CoRR, June, 2025

FLARE: Robot Learning with Implicit World Modeling.

[BibT_eX]

[DOI]

CoRR, May, 2025

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories.

[BibT_eX]

[DOI]

CoRR, May, 2025

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

[BibT_eX]

[DOI]

CoRR, March, 2025

Magma: A Foundation Model for Multimodal AI Agents.

[BibT_eX]

[DOI]

CoRR, February, 2025

TREND: Tri-Teaching for Robust Preference-based Reinforcement Learning with Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Magma: A Foundation Model for Multimodal AI Agents.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem.

[BibT_eX]

[DOI]

CoRR, 2024

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.

[BibT_eX]

[DOI]

Wichayaporn Wongkamjan

Huazhe Xu

Furong Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.

[BibT_eX]

[DOI]

Stephen Marcus McAleer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Progressively Efficient Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.

[BibT_eX]

[DOI]

CoRR, 2023

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transfer RL across Observation Feature Spaces via Model-Based Regularization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Ruijie Zheng

Timeline

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Links

On csauthors.net:

Bibliography

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