Dingyang Chen
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View article: Covalently constructed porous polyamidoxime nanofibers for enhanced uranium capture
Covalently constructed porous polyamidoxime nanofibers for enhanced uranium capture Open
Uranium extraction from seawater is of great importance because of the sustainable development of nuclear energy. Though polyamidoxime-based adsorbents hold significant promise in this field, the entanglement of polymer chains greatly limi…
View article: Low-Cost Biomass Nanofibers from Chitosan and Phytic Acid for Efficient Uranium Extraction
Low-Cost Biomass Nanofibers from Chitosan and Phytic Acid for Efficient Uranium Extraction Open
Exploring materials for the uranium extraction from seawater holds great significance for the sustainable development of the nuclear industry. Though many adsorbents have been investigated to extract uranium, they still suffer from the iss…
View article: Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Open
Data augmentation creates new data points by transforming the original ones for a reinforcement learning (RL) agent to learn from, which has been shown to be effective for the objective of improving the data efficiency of RL for continuous…
View article: Efficient Sequential Decision Making with Large Language Models
Efficient Sequential Decision Making with Large Language Models Open
This paper focuses on extending the success of large language models (LLMs) to sequential decision making. Existing efforts either (i) re-train or finetune LLMs for decision making, or (ii) design prompts for pretrained LLMs. The former ap…
View article: Theory-Driven Tailoring of the Microenvironment of Quaternary Ammonium Binding Sites on Electrospun Nanofibers for Efficient Bilirubin Removal in Hemoperfusion
Theory-Driven Tailoring of the Microenvironment of Quaternary Ammonium Binding Sites on Electrospun Nanofibers for Efficient Bilirubin Removal in Hemoperfusion Open
Efficient adsorbents for excess bilirubin removal are extremely important for the treatment of hyperbilirubinemia. However, traditional adsorbents, such as activated carbons and ion-exchange resins, still suffer from dissatisfactory adsorp…
View article: Self-Standing Porous Aromatic Framework Electrodes for Efficient Electrochemical Uranium Extraction
Self-Standing Porous Aromatic Framework Electrodes for Efficient Electrochemical Uranium Extraction Open
Electrochemical uranium extraction from seawater provides a new opportunity for a sustainable supply of nuclear fuel. However, there is still room for studying flexible electrode materials in this field. Herein, we construct amidoxime grou…
View article: ${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Open
Identification and analysis of symmetrical patterns in the natural world have led to significant discoveries across various scientific fields, such as the formulation of gravitational laws in physics and advancements in the study of chemic…
View article: Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Open
Executing actions in a correlated manner is a common strategy for human coordination that often leads to better cooperation, which is also potentially beneficial for cooperative multi-agent reinforcement learning (MARL). However, the recen…
View article: Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games Open
We study the performance of policy gradient methods for the subclass of Markov games known as Markov potential games (MPGs), which extends the notion of normal-form potential games to the stateful setting and includes the important special…
View article: Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games Open
Recent success in cooperative multi-agent reinforcement learning (MARL) relies on centralized training and policy sharing. Centralized training eliminates the issue of non-stationarity MARL yet induces large communication costs, and policy…
View article: Energy-Saving Technology in Indoor LTE System with DTX Based on CQI
Energy-Saving Technology in Indoor LTE System with DTX Based on CQI Open
In LTE (Long Term Evolution) system, CQI (Channel Quality Indication) is a technical method to realize adaptive modulation and coding. The dispatcher of BS (base station) would allocate resource blocks to users dynamically based on CQI of …