Search Results for author: Hang Ren

Found 9 papers, 0 papers with code

PAN: Pulse Ansatz on NISQ Machines

no code implementations2 Aug 2022 Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian

In the case of VQAs, this procedure will introduce redundancy, but the variational properties of VQAs can naturally handle problems of over-rotation and under-rotation by updating the amplitude and frequency parameters.

Visual Question Answering VQA

Reinforcement Learning in Presence of Discrete Markovian Context Evolution

no code implementations ICLR 2022 Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar

We consider a context-dependent Reinforcement Learning (RL) setting, which is characterized by: a) an unknown finite number of not directly observable contexts; b) abrupt (discontinuous) context changes occurring during an episode; and c) Markovian context evolution.

reinforcement-learning Variational Inference

Learning to Safely Exploit a Non-Stationary Opponent

no code implementations NeurIPS 2021 Zheng Tian, Hang Ren, Yaodong Yang, Yuchen Sun, Ziqi Han, Ian Davies, Jun Wang

On the other hand, overfitting to an opponent (i. e., exploiting only one specific type of opponent) makes the learning player easily exploitable by others.

Efficient Semi-Implicit Variational Inference

no code implementations15 Jan 2021 Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar

In this paper, we propose CI-VI an efficient and scalable solver for semi-implicit variational inference (SIVI).

Variational Inference

System Design and Analysis for Energy-Efficient Passive UAV Radar Imaging System using Illuminators of Opportunity

no code implementations1 Oct 2020 Zhichao Sun, Junjie Wu, Gary G. Yen, Hang Ren, Hongyang An, Jianyu Yang

Then, a set of mission performance evaluators is established to quantitatively assess the capability of the system in a comprehensive manner, including UAV navigation, passive SAR imaging and communication.

Wasserstein Robust Reinforcement Learning

no code implementations30 Jul 2019 Mohammed Amin Abdullah, Hang Ren, Haitham Bou Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang

Reinforcement learning algorithms, though successful, tend to over-fit to training environments hampering their application to the real-world.


Optimizing human-interpretable dialog management policy using Genetic Algorithm

no code implementations12 May 2016 Hang Ren, Weiqun Xu, Yonghong Yan

Automatic optimization of spoken dialog management policies that are robust to environmental noise has long been the goal for both academia and industry.

Management reinforcement-learning

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