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02/20/2023
Differentiable Arbitrating in Zero-sum Markov Games
We initiate the study of how to perturb the reward in a zero-sum Markov ...
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02/20/2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints
In this paper, we develop an approximation scheme for solving bilevel pr...
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01/11/2023
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information
Multi-agent path finding (MAPF) is the problem of moving agents to the g...
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12/30/2022
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models
With the attention mechanism, transformers achieve significant empirical...
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09/20/2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
The cooperative Multi-A gent R einforcement Learning (MARL) with permuta...
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09/15/2022
Differentiable Bilevel Programming for Stackelberg Congestion Games
A Stackelberg congestion game (SCG) is a bilevel program in which a lead...
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09/05/2022
ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics
Robots are integrating more huge-size models to enrich functions and imp...
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08/30/2022
AuthROS: Secure Data Sharing Among Robot Operating Systems Based on Ethereum
Robot Operating System (ROS) has brought the excellent potential for aut...
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05/29/2022
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
Recent years have witnessed a rapid growth of applying deep spatiotempor...
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10/04/2021
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima
To regulate a social system comprised of self-interested agents, economi...
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02/02/2021
Federated Learning in Smart Cities: A Comprehensive Survey
Federated learning plays an important role in the process of smart citie...
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10/16/2020
Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems
A technological revolution is occurring in the field of robotics with th...
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09/08/2020
A Real-time Contribution Measurement Method for Participants in Federated Learning
In recent years, individuals, business organizations or the country have...
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05/23/2020
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining
With the spread and development of new epidemics, it is of great referen...
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03/02/2020
Design and Implementation of A Novel Precision Irrigation Robot Based on An Intelligent Path Planning Algorithm
The agricultural irrigation system is closely related to agricultural pr...
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12/24/2019
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
Humans are capable of learning a new behavior by observing others to per...
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09/03/2019
Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
Humans are capable of learning a new behavior by observing others perfor...
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06/25/2019
Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA
Traffic flow forecasting is hot spot research of intelligent traffic sys...
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06/25/2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy
Proximal policy optimization and trust region policy optimization (PPO a...
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03/26/2019
Recognition of Pyralidae Insects Using Intelligent Monitoring Autonomous Robot Vehicle in Natural Farm Scene
The Pyralidae pests, such as corn borer and rice leaf roller, are main p...
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01/19/2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
This paper was motivated by the problem of how to make robots fuse and t...
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08/01/2018