21 citations · 78 across the 33 of their papers we have counts for
3 papers · 1 filter
Understanding and Mitigating the Limitations of Prioritized Experience Replay
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand +4
Prioritized Experience Replay (ER) has been empirically shown to improve sample efficiency across many domains and attracted great attention; however, there is little theoretical u…
Policy-Aware Model Learning for Policy Gradient Methods
Romina Abachi, Mohammad Ghavamzadeh, Amir-massoud Farahmand
This paper considers the problem of learning a model in model-based reinforcement learning (MBRL). We examine how the planning module of an MBRL algorithm uses the model, and propo…
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…