Search Results - "Le, Tuyen Pham"

Importance sampling policy gradient algorithms in reproducing kernel Hilbert space by Le, Tuyen Pham, Ngo, Vien Anh, Jaramillo, P. Marlith, Chung, TaeChoong

“…Modeling policies in reproducing kernel Hilbert space (RKHS) offers a very flexible and powerful new family of policy gradient algorithms called RKHS policy…”
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Univector field method-based multi-agent navigation for pursuit problem in obstacle environments by Tuyen, Le Pham, Viet, Hoang Huu, An, Sang Hyeok, Lee, Seung Gwan, Kim, Dong-Han, Chung, Tae Choong

“…The pursuit problem is a well-known problem in computer science. In this problem, a group of predator agents attempt to capture a prey agent in an environment…”
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A shortlist-based bidirectional local search for the stable marriage problem by Viet, Hoang Huu, Trang, Le Hong, Tuyen, Le Pham, Chung, Taechoong

“…This paper proposes a shortlist-based bidirectional local search algorithm to find an approximate solution for either the egalitarian or the sex-equal matching…”
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A2GAN: A Deep Reinforcement-Based Learning Algorithm for Risk-Aware in Finance by Le, Tuyen Pham, Rho, Cheolkyun, Min, Yelin, Lee, Sungreong, Choi, Daewoo

“…Financial data suffer from missing, unlabeled and unbalanced data, thus weakening the performance of decision-making systems. In addition, the aim of financial…”
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Controlling bicycle using deep deterministic policy gradient algorithm by Le Pham Tuyen, TaeChoong Chung

“…Controlling a bicycle without human interaction is still a challenge for researchers. Most of the studies on this topic focus on the physical area of bicycle…”
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Deep reinforcement learning algorithms for steering an underactuated ship by Le Pham Tuyen, Abu Layek, Ngo Anh Vien, TaeChoong Chung

“…Based on state-of-the-art deep reinforcement learning (Deep RL) algorithms, two controllers are proposed to pass a ship through a specified gate. Deep RL is a…”
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Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes by Tuyen, Le Pham, Vien, Ngo Anh, Layek, Abu, Chung, TaeChoong

“…In recent years, reinforcement learning has achieved many remarkable successes due to the growing adoption of deep learning techniques and the rapid growth in…”
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Performance analysis of H.264, H.265, VP9 and AV1 video encoders by Abu Layek, Md, Ngo Quang Thai, Hossain, Md Alamgir, Ngo Thien Thu, Le Pham Tuyen, Talukder, Ashis, TaeChoong Chung, Eui-Nam Huh

“…Videos can portray our thinking in a better way than anything can. As a result, online as well as offline videos in entertainment, health, storytelling,…”
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