Ruijie Zheng
According to our database1,
Ruijie Zheng
authored at least 28 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control.
CoRR, July, 2025
CoRR, May, 2025
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations.
CoRR, May, 2025
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
CoRR, 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.
CoRR, 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.
CoRR, 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems.
CoRR, 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL.
Proceedings of the Tenth International Conference on Learning Representations, 2022