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05/12/2023
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning
In cooperative multi-agent reinforcement learning (MARL), the environmen...
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04/26/2023
NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Value decomposition is widely used in cooperative multi-agent reinforcem...
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09/17/2022
Reinforcement Learning for Self-exploration in Narrow Spaces
In narrow spaces, motion planning based on the traditional hierarchical ...
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09/15/2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Multi-agent reinforcement learning (MARL) recently has achieved tremendo...
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02/08/2022
Simulators for Mobile Social Robots:State-of-the-Art and Challenges
The future robots are expected to work in a shared physical space with h...
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09/15/2021
Multi View Spatial-Temporal Model for Travel Time Estimation
Taxi arrival time prediction is an essential part of building intelligen...
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01/07/2021
Progressive Self-Guided Loss for Salient Object Detection
We present a simple yet effective progressive self-guided loss function ...
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03/21/2019
Towards Robust Curve Text Detection with Conditional Spatial Expansion
It is challenging to detect curve texts due to their irregular shapes an...
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03/06/2019
Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO
A major challenge to implement compressed sensing method for channel sta...
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09/30/2018
Correlation Propagation Networks for Scene Text Detection
In this work, we propose a novel hybrid method for scene text detection ...
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05/22/2018
Learning Markov Clustering Networks for Scene Text Detection
A novel framework named Markov Clustering Network (MCN) is proposed for ...
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02/20/2017
A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks
FPGA-based hardware accelerators for convolutional neural networks (CNNs...
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12/12/2016