| Multilabeled value networks for computer Go TR Wu, IC Wu, GW Chen, TH Wei, HC Wu, TY Lai, LC Lan IEEE Transactions on Games 10 (4), 378-389, 2018 | 19 | 2018 |
| Are AlphaZero-like Agents Robust to Adversarial Perturbations? LC Lan, H Zhang, TR Wu, MY Tsai, I Wu, CJ Hsieh Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 12 | 2022 |
| Learning to schedule learning rate with graph neural networks Y Xiong, LC Lan, X Chen, R Wang, CJ Hsieh International conference on learning representation (ICLR), 2022 | 12 | 2022 |
| Multiple policy value Monte Carlo tree search LC Lan, W Li, TH Wei, I Wu International Joint Conference on Artificial Intelligence (IJCAI-19) 28 …, 2019 | 12 | 2019 |
| Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories LC Lan, H Zhang, CJ Hsieh The Eleventh International Conference on Learning Representations (ICLR-2023), 2023 | 7 | 2023 |
| Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search LC Lan, MY Tsai, TR Wu, I Wu, CJ Hsieh Proceedings of the AAAI Conference on Artificial Intelligence (2021), 259-267, 2021 | 5 | 2021 |
| How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers Y Xiong, X Liu, LC Lan, Y You, S Si, CJ Hsieh arXiv preprint arXiv:2010.09889, 2020 | 1 | 2020 |
| Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning CC Chiang, LC Lan, WF Sun, C Feng, CJ Hsieh, CY Lee arXiv preprint arXiv:2402.01057, 2024 | | 2024 |
| Rethinking the Role of Hyperparameter Tuning in Optimizer Benchmarking Y Xiong, X Liu, LC Lan, Y You, S Si, CJ Hsieh | | 2023 |
