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07/31/2023
Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller
In this work, we propose a learning based neural model that provides bot...
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06/12/2023
Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles
Interaction between the background vehicles (BVs) and automated vehicles...
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01/26/2023
FedHQL: Federated Heterogeneous Q-Learning
Federated Reinforcement Learning (FedRL) encourages distributed agents t...
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10/14/2022
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
Recent neural methods for vehicle routing problems always train and test...
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04/25/2022
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
We present an efficient Neural Neighborhood Search (N2S) approach for pi...
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10/26/2021
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
The growing literature of Federated Learning (FL) has recently inspired ...
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10/06/2021
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Existing deep reinforcement learning (DRL) based methods for solving the...
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10/06/2021