Changnan Xiao | DeepAI

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Featured Co-authors

Jie Chen
218 publications
Bing Liu
102 publications
Peng Sun
60 publications
Yue Huang
46 publications
Zixuan Ke
14 publications
Jiajun Fan
8 publications
Gyuhak Kim
7 publications
Tatsuya Konishi
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Yongxin Zhang
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Wei Xi
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Sepideh Esmaeilpour
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∙ 06/22/2023

Learnability and Algorithm for Continual Learning

This paper studies the challenging continual learning (CL) setting of Cl...

0 Gyuhak Kim, et al. ∙

∙ 04/20/2023

Open-World Continual Learning: Unifying Novelty Detection and Continual Learning

As AI agents are increasingly used in the real open world with unknowns ...

0 Gyuhak Kim, et al. ∙

∙ 03/09/2023

Mastering Strategy Card Game (Hearthstone) with Improved Techniques

Strategy card game is a well-known genre that is demanding on the intell...

0 Changnan Xiao, et al. ∙

∙ 03/07/2023

Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play

Deep Reinforcement Learning combined with Fictitious Play shows impressi...

0 Wei Xi, et al. ∙

∙ 11/04/2022

A Theoretical Study on Solving Continual Learning

Continual learning (CL) learns a sequence of tasks incrementally. There ...

0 Gyuhak Kim, et al. ∙

∙ 06/07/2022

Generalized Data Distribution Iteration

To obtain higher sample efficiency and superior final performance simult...

0 Jiajun Fan, et al. ∙

∙ 03/17/2022

Continual Learning Based on OOD Detection and Task Masking

Existing continual learning techniques focus on either task incremental ...

0 Gyuhak Kim, et al. ∙

∙ 06/11/2021

GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning

Deep Q Network (DQN) firstly kicked the door of deep reinforcement learn...

0 Jiajun Fan, et al. ∙

∙ 06/01/2021

An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning

Policy-based reinforcement learning methods suffer from the policy colla...

0 Changnan Xiao, et al. ∙

∙ 05/09/2021

CASA-B: A Unified Framework of Model-Free Reinforcement Learning

Building on the breakthrough of reinforcement learning, this paper intro...

0 Changnan Xiao, et al. ∙

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