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02/22/2023
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation
Clinicians prescribe antibiotics by looking at the patient's health reco...
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01/27/2023
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence
Many policy optimization approaches in reinforcement learning incorporat...
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07/29/2022
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization
Deep reinforcement learning with domain randomization learns a control p...
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07/20/2022
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder
Defining and separating cancer subtypes is essential for facilitating pe...
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06/22/2022
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization
Cancer subtyping is crucial for understanding the nature of tumors and p...
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05/16/2022
q-Munchausen Reinforcement Learning
The recently successful Munchausen Reinforcement Learning (M-RL) feature...
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05/16/2022
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning
Maximum Tsallis entropy (MTE) framework in reinforcement learning has ga...
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04/21/2022
Multi-Tier Platform for Cognizing Massive Electroencephalogram
An end-to-end platform assembling multiple tiers is built for precisely ...
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04/02/2022
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data
Cancer is one of the deadliest diseases worldwide. Accurate diagnosis an...
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07/16/2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning
The recent booming of entropy-regularized literature reveals that Kullba...
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07/13/2021
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning
In this paper, we propose cautious policy programming (CPP), a novel val...
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07/12/2021
Cautious Actor-Critic
The oscillating performance of off-policy learning and persisting errors...
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08/25/2020