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Changnan Xiao
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2020 – today
- 2024
- [j1]Wei Cai
, Peimin Zhu, Changnan Xiao, Yufeng Liu, Chengshuang Li, Ziang Li
Elimination of the Symmetrical Artifacts in Kirchhoff Depth Migration for 3-D Whole-Space Tunnel Seismic Imaging. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [i12]Changnan Xiao, Bing Liu:
A Theory for Length Generalization in Learning to Reason. CoRR abs/2404.00560 (2024) - 2023
- [c6]Changnan Xiao, Yongxin Zhang, Xuefeng Huang, Qinhan Huang, Jie Chen, Peng Sun:
Mastering Strategy Card Game (Hearthstone) with Improved Techniques. CoG 2023: 1-8 - [c5]Gyuhak Kim
Learnability and Algorithm for Continual Learning. ICML 2023: 16877-16896 - [c4]Jianwei Zheng
ParliRobo: Participant Lightweight AI Robots for Massively Multiplayer Online Games (MMOGs). ACM Multimedia 2023: 9093-9102 - [i11]Wei Xi, Yongxin Zhang, Changnan Xiao, Xuefeng Huang, Shihong Deng, Haowei Liang, Jie Chen, Peng Sun:
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play. CoRR abs/2303.04096 (2023) - [i10]Changnan Xiao, Yongxin Zhang, Xuefeng Huang, Qinhan Huang, Jie Chen, Peng Sun:
Mastering Strategy Card Game (Hearthstone) with Improved Techniques. CoRR abs/2303.05197 (2023) - [i9]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR abs/2304.10038 (2023) - [i8]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. CoRR abs/2306.12646 (2023) - [i7]Changnan Xiao, Bing Liu:
Conditions for Length Generalization in Learning Reasoning Skills. CoRR abs/2311.16173 (2023) - 2022
- [c3]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops 2022: 3855-3865 - [c2]Jiajun Fan, Changnan Xiao:
Generalized Data Distribution Iteration. ICML 2022: 6103-6184 - [c1]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. NeurIPS 2022 - [i6]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CoRR abs/2203.09450 (2022) - [i5]Jiajun Fan, Changnan Xiao:
Generalized Data Distribution Iteration. CoRR abs/2206.03192 (2022) - [i4]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. CoRR abs/2211.02633 (2022) - 2021
- [i3]Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng:
CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation. CoRR abs/2105.03923 (2021) - [i2]Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng:
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning. CoRR abs/2106.00707 (2021) - [i1]Jiajun Fan, Changnan Xiao, Yue Huang:
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning. CoRR abs/2106.06232 (2021)
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