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Jiaqi Yang
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Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
Z Zhang, J Yang, X Ji, SS Du
Advances in Neural Information Processing Systems 34, 4342-4355, 2021
56*2021
Impact of Representation Learning in Linear Bandits
J Yang, W Hu, JD Lee, SS Du
International Conference on Learning Representations, 2021
55*2021
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design
Y Ruan, J Yang, Y Zhou
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
532021
Revisiting some common practices in cooperative multi-agent reinforcement learning
W Fu, C Yu, Z Xu, J Yang, Y Wu
arXiv preprint arXiv:2206.07505, 2022
362022
Provable Model-Based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
K Dong, J Yang, T Ma
Advances in Neural Information Processing Systems 34, 2021
362021
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
C Yu, J Gao, W Liu, B Xu, H Tang, J Yang, Y Wang, Y Wu
arXiv preprint arXiv:2302.01605, 2023
192023
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Y Li, T Gao, J Yang, H Xu, Y Wu
International Conference on Machine Learning, 12765-12781, 2022
152022
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
B Huang, K Huang, S Kakade, JD Lee, Q Lei, R Wang, J Yang
Advances in Neural Information Processing Systems 34, 2021
142021
Nearly Minimax Algorithms for Linear Bandits with Shared Representation
J Yang, Q Lei, JD Lee, SS Du
arXiv preprint arXiv:2203.15664, 2022
112022
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
B Huang, K Huang, S Kakade, JD Lee, Q Lei, R Wang, J Yang
Advances in Neural Information Processing Systems 34, 8968-8983, 2021
92021
Fully Gap-Dependent Bounds for Multinomial Logit Bandit
J Yang
International Conference on Artificial Intelligence and Statistics, 199-207, 2021
32021
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Articles 1–11