21 citations · 45 across the 25 of their papers we have counts for
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cs.LG2019
Hill Climbing on Value Estimates for Search-control in Dyna
Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand +1
Dyna is an architecture for model-based reinforcement learning (RL), where simulated experience from a model is used to update policies or value functions. A key component of Dyna…
cs.AI2019
Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning
Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain +1
We present a visual symptom checker that combines a pre-trained Convolutional Neural Network (CNN) with a Reinforcement Learning (RL) agent as a Question Answering (QA) model. This…