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09/17/2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Vision Transformer (ViT) models have recently emerged as powerful and ve...
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08/24/2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
The sparsity of extrinsic rewards poses a serious challenge for reinforc...
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05/25/2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning
Recently, deep reinforcement learning (RL) algorithms have made great pr...
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03/27/2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning
Recently, deep Reinforcement Learning (RL) algorithms have achieved dram...
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01/27/2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity
Federated learning (FL) enables distributed participants to collectively...
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03/11/2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Off-Policy Actor-Critic (Off-PAC) methods have proven successful in a va...
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10/05/2019
Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems
The aim of multi-agent reinforcement learning systems is to provide inte...
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09/28/2019
Feature Fusion Detector for Semantic Cognition of Remote Sensing
The value of remote sensing images is of vital importance in many areas ...
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01/31/2019