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06/08/2023
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs
This paper introduces FedMLSecurity, a benchmark that simulates adversar...
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03/04/2023
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks
Effective traffic control methods have great potential in alleviating ne...
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08/11/2022
Heterogeneous Line Graph Transformer for Math Word Problems
This paper describes the design and implementation of a new machine lear...
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07/04/2022
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments
Unmanned aerial vehicles (UAVs) have been widely used in military warfar...
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10/29/2021
Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation
Accurate traffic state information plays a pivotal role in the Intellige...
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05/28/2021
Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds
Smart traffic control and management become an emerging application for ...
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03/30/2021
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
A common classification task situation is where one has a large amount o...
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02/11/2020
Can I Trust You? A User Study of Robot Mediation of a Support Group
Socially assistive robots have the potential to improve group dynamics w...
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04/17/2018