Boxiang Lyu
According to our database1,
Boxiang Lyu
authored at least 9 papers
between 2022 and 2023.
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Bibliography
2023
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm.
Proceedings of the International Conference on Machine Learning, 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions.
Proceedings of the International Conference on Machine Learning, 2023
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
CoRR, 2022
One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning.
CoRR, 2022
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach.
CoRR, 2022
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022