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Runzhe Wu
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Malib: A parallel framework for population-based multi-agent reinforcement learning
M Zhou, Z Wan, H Wang, M Wen, R Wu, Y Wen, Y Yang, Y Yu, J Wang, ...
Journal of Machine Learning Research 24 (150), 1-12, 2023
362023
Offline constrained multi-objective reinforcement learning via pessimistic dual value iteration
R Wu, Y Zhang, Z Yang, Z Wang
Advances in Neural Information Processing Systems 34, 25439-25451, 2021
132021
Distributional offline policy evaluation with predictive error guarantees
R Wu, M Uehara, W Sun
International Conference on Machine Learning, 37685-37712, 2023
102023
Contextual Bandits and Imitation Learning with Preference-Based Active Queries
A Sekhari, K Sridharan, W Sun, R Wu
Advances in Neural Information Processing Systems 36, 2024
62024
The benefits of being distributional: Small-loss bounds for reinforcement learning
K Wang, K Zhou, R Wu, N Kallus, W Sun
Advances in Neural Information Processing Systems 36, 2023
62023
Making rl with preference-based feedback efficient via randomization
R Wu, W Sun
arXiv preprint arXiv:2310.14554, 2023
62023
Selective sampling and imitation learning via online regression
A Sekhari, K Sridharan, W Sun, R Wu
Advances in Neural Information Processing Systems 36, 2024
42024
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