Changnan Xiao

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Policy Evaluation

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

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 (2024)
Changnan Xiao, Bing Liu
A Theory for Length Generalization in Learning to Reason. CoRR (2024)
Jianwei Zheng, Changnan Xiao, Mingliang Li, Zhenhua Li, Feng Qian, Wei Liu, Xudong Wu
ParliRobo: Participant Lightweight AI Robots for Massively Multiplayer Online Games (MMOGs). ACM Multimedia (2023)
Changnan Xiao, Bing Liu
Conditions for Length Generalization in Learning Reasoning Skills. CoRR (2023)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
Learnability and Algorithm for Continual Learning. ICML (2023)
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 (2023)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
Learnability and Algorithm for Continual Learning. CoRR (2023)
Changnan Xiao, Yongxin Zhang, Xuefeng Huang, Qinhan Huang, Jie Chen, Peng Sun
Mastering Strategy Card Game (Hearthstone) with Improved Techniques. CoG (2023)
Changnan Xiao, Yongxin Zhang, Xuefeng Huang, Qinhan Huang, Jie Chen, Peng Sun
Mastering Strategy Card Game (Hearthstone) with Improved Techniques. CoRR (2023)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR (2023)
Jiajun Fan, Changnan Xiao
Generalized Data Distribution Iteration. CoRR (2022)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
A Theoretical Study on Solving Continual Learning. NeurIPS (2022)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
A Theoretical Study on Solving Continual Learning. CoRR (2022)
Jiajun Fan, Changnan Xiao
Generalized Data Distribution Iteration. ICML (2022)
Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops (2022)
Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
Continual Learning Based on OOD Detection and Task Masking. CoRR (2022)
Jiajun Fan, Changnan Xiao, Yue Huang
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning. CoRR (2021)
Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng
CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation. CoRR (2021)
Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning. CoRR (2021)