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Article
Large sequence models for sequential decision-making: a survey
Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and Swin Trans...
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Article
Editorial Special Issue on Simulation and AI
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Article
Open AccessOffline Pre-trained Multi-agent Decision Transformer
Offline reinforcement learning leverages previously collected offline datasets to learn optimal policies with no necessity to access the real environment. Such a paradigm is also desirable for multi-agent rein...
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Article
Piezocatalytic removal of water bacteria and organic compounds: a review
In the context of climate change, freshwater shrinkage and industrialization, human diseases are increasing due to water pollution by toxic chemicals and pathogenic bacteria, calling for advanced methods to tr...
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Article
Online Markov decision processes with non-oblivious strategic adversary
We study a novel setting in Online Markov Decision Processes (OMDPs) where the loss function is chosen by a non-oblivious strategic adversary who follows a no-external regret algorithm. In this setting, we first ...
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Chapter and Conference Paper
A Game-Theoretic Approach to Multi-agent Trust Region Optimization
Trust region methods are widely applied in single-agent reinforcement learning problems due to their monotonic performance-improvement guarantee at every iteration. Nonetheless, when applied in multi-agent set...
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Article
Solving Inventory Management Problems through Deep Reinforcement Learning
Inventory management (e.g. lost sales) is a central problem in supply chain management. Lost sales inventory systems with lead times and complex cost function are notoriously hard to optimize. Deep reinforceme...
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Article
Illiquidity Comovement and Market Crisis
This paper presents a rational expectation equilibrium model to explore how the financial contagion occurs between the unlinked markets that do not share common fundamentals. In the proposed model, the authors...
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Article
The oil palm R2R3-MYB subfamily genes EgMYB111 and EgMYB157 improve multiple abiotic stress tolerance in transgenic Arabidopsis plants
We found that overexpression of EgMYB111 and EgMYB157 genes positively regulate the abiotic stress tolerance.
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Article
Open AccessIdentification and expression analysis of histone modification gene (HM) family during somatic embryogenesis of oil palm
Oil palm (Elaeis guineensis, Jacq.) is an important vegetable oil-yielding plant. Somatic embryogenesis is a promising method to produce large-scale elite clones to meet the demand for palm oil. The epigenetic me...
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Chapter and Conference Paper
Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation
Deep neural networks can capture the intricate interaction history information between queries and documents, because of their many complicated nonlinear units, allowing them to provide correct search recommen...
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Article
Size, morphology, and composition of lunar samples returned by Chang’E-5 mission
This study focuses on the physical and chemical properties of surficial lunar regolith (LR) samples returned from the Moon by the Chang’E-5 (CE-5) mission. Insights regarding the effect of a new sampling geolo...
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Article
Magnetoelectricity in vertically aligned nanocomposites: Past, present, and future
Vertically aligned magnetoelectric nanocomposites (ME VANs) self-assembled from piezoelectric perovskite and magnetostrictive spinel phases are appealing due to their unique pillar-array-like morphologies and ...
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Article
Open AccessCoconut genome assembly enables evolutionary analysis of palms and highlights signaling pathways involved in salt tolerance
Coconut (Cocos nucifera) is the emblematic palm of tropical coastal areas all around the globe. It provides vital resources to millions of farmers. In an effort to better understand its evolutionary history and t...
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Article
Open AccessCombining sequence and network information to enhance protein–protein interaction prediction
Protein–protein interactions (PPIs) are of great importance in cellular systems of organisms, since they are the basis of cellular structure and function and many essential cellular processes are related to th...
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Article
Order Execution Probability and Order Queue in Limit Order Markets
The sha** of a limit order book illustrates the dynamics of the trading process, the changing pattern of the execution probability of limit orders therefore plays an important role. This paper presents a com...
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Article
Background-free upconversion-encoded microspheres for mycotoxin detection based on a rapid visualization method
Methods for detecting mycotoxins are very important because of the great health hazards of mycotoxins. However, there is a high background and low signal-to-noise ratio in real-time sensing, and therefore it i...
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Chapter
Conventional and Modern Technologies for the Management of Post-Harvest Diseases
Postharvest losses mostly occur due to senescence, microbial decay and pathogen attack, which greatly affect the quantity and quality of food. Number of techniques are used to minimize the postharvest lossesan...
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Article
Open AccessAttention-based recurrent neural network for influenza epidemic prediction
Influenza is an infectious respiratory disease that can cause serious public health hazard. Due to its huge threat to the society, precise real-time forecasting of influenza outbreaks is of great value to our ...
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Article
Open AccessUsing deep reinforcement learning to speed up collective cell migration
Collective cell migration is a significant and complex phenomenon that affects many basic biological processes. The coordination between leader cell and follower cell affects the rate of collective cell migrat...
