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05/30/2023
NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM
With the widespread use of deep neural networks(DNNs) in intelligent sys...
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08/24/2022
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning
In real-world scenarios, reinforcement learning under sparse-reward syne...
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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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08/10/2022
Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization
Aggregating messages is a key component for the communication of multi-a...
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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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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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01/22/2019
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach
The RGB-D camera maintains a limited range for working and is hard to ac...
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11/12/2018
Learning data augmentation policies using augmented random search
Previous attempts for data augmentation are designed manually, and the a...
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10/30/2018
