Search Results for author: Jiawei Xu

Found 6 papers, 1 papers with code

Relative Policy-Transition Optimization for Fast Policy Transfer

no code implementations13 Jun 2022 Lei Han, Jiawei Xu, Cheng Zhou, Yizheng Zhang, Zhengyou Zhang

Then, integrating the two algorithms offers the complete algorithm Relative Policy-Transition Optimization (RPTO), in which the policy interacts with the two environments simultaneously, such that data collections from two environments, policy and transition updates are completed in one closed loop to form a principled learning framework for policy transfer.

SeqNet: An Efficient Neural Network for Automatic Malware Detection

no code implementations8 May 2022 Jiawei Xu, Wenxuan Fu, Haoyu Bu, Zhi Wang, Lingyun Ying

We demonstrate the effectiveness of our methods and the low training cost requirement of SeqNet in our experiments.

Feature Engineering Malware Analysis +1

Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning

no code implementations29 Mar 2022 Zhishe Wang, Wenyu Shao, Yanlin Chen, Jiawei Xu, Xiaoqin Zhang

The existing generative adversarial fusion methods generally concatenate source images and extract local features through convolution operation, without considering their global characteristics, which tends to produce an unbalanced result and is biased towards the infrared image or visible image.

Infrared And Visible Image Fusion

Bootstrapped Hindsight Experience replay with Counterintuitive Prioritization

no code implementations29 Sep 2021 Jiawei Xu, Shuxing Li, Chun Yuan, Zhengyou Zhang, Lei Han

In this paper, inspired by Bootstrapped DQN, we use multiple heads in DDPG and take advantage of the diversity and uncertainty among multiple heads to improve the data efficiency with relabeled goals.


Superior Performance with Diversified Strategic Control in FPS Games Using General Reinforcement Learning

no code implementations29 Sep 2021 Shuxing Li, Jiawei Xu, Chun Yuan, Peng Sun, Zhuobin Zheng, Zhengyou Zhang, Lei Han

We provide comprehensive analysis and experiments to elaborate the effect of each component in affecting the agent performance, and demonstrate that the proposed and adopted techniques are important to achieve superior performance in general end-to-end FPS games.

FPS Games General Reinforcement Learning +1

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

1 code implementation25 Nov 2020 Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang

This poses non-trivial difficulties for researchers or engineers and prevents the application of MARL to a broader range of real-world problems.

Dota 2 Multi-agent Reinforcement Learning +3

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