Следене
Ruijie Zheng
Ruijie Zheng
Потвърден имейл адрес: umd.edu
Заглавие
Позовавания
Позовавания
Година
Who is the strongest enemy? towards optimal and efficient evasion attacks in deep rl
Y Sun, R Zheng, Y Liang, F Huang
ICLR 2022, 2021
542021
Efficient adversarial training without attacking: Worst-case-aware robust reinforcement learning
Y Liang, Y Sun, R Zheng, F Huang
Advances in Neural Information Processing Systems 35, 22547-22561, 2022
342022
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
Y Sun, R Zheng, P Hassanzadeh, Y Liang, S Feizi, S Ganesh, F Huang
The Eleventh International Conference on Learning Representations, 2022
21*2022
Transfer RL across observation feature spaces via model-based regularization
Y Sun, R Zheng, X Wang, A Cohen, F Huang
The Eleventh International Conference on Learning Representations, 2022
162022
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
R Zheng, X Wang, H Xu, F Huang
The Eleventh International Conference on Learning Representations, 2023
82023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
R Zheng, X Wang, Y Sun, S Ma, J Zhao, H Xu, H Daumé III, F Huang
Advances in Neural Information Processing Systems 36, 2024, 2023
7*2023
Is imitation all you need? generalized decision-making with dual-phase training
Y Wei, Y Sun, R Zheng, S Vemprala, R Bonatti, S Chen, R Madaan, Z Ba, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
62023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
G Xu, R Zheng, Y Liang, X Wang, Z Yuan, T Ji, Y Luo, X Liu, J Yuan, ...
The Twelfth International Conference on Learning Representations (ICLR 2024), 2023
32023
Coplanner: Plan to roll out conservatively but to explore optimistically for model-based rl
X Wang, R Zheng, Y Sun, R Jia, W Wongkamjan, H Xu, F Huang
arXiv preprint arXiv:2310.07220, 2023
22023
Game-theoretic robust reinforcement learning handles temporally-coupled perturbations
Y Liang, Y Sun, R Zheng, X Liu, T Sandholm, F Huang, S McAleer
The Twelfth International Conference on Learning Representations (ICLR 2024), 2023
22023
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making
Y Xu, C Deng, Y Sun, R Zheng, X Wang, J Zhao, F Huang
arXiv preprint arXiv:2309.03426, 2023
12023
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
T Ji, Y Liang, Y Zeng, Y Luo, G Xu, J Guo, R Zheng, F Huang, F Sun, H Xu
arXiv preprint arXiv:2402.14528, 2024
2024
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem
R Zheng, CA Cheng, H Daumé III, F Huang, A Kolobov
arXiv preprint arXiv:2402.10450, 2024
2024
Premier-TACO: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
R Zheng, Y Liang, X Wang, S Ma, H Daumé III, H Xu, J Langford, ...
arXiv preprint arXiv:2402.06187, 2024
2024
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–14