Tag : reinforcement

AI/ML

Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation. (arXiv:2003.06474v1 [cs.AI])

Newsemia
Our aim is to establish a framework where reinforcement learning (RL) of optimizing interventions retrospectively allows us a regulatory compliant pathway to prospective clinical testing...
AI/ML

Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search. (arXiv:2002.08718v1 [cs.AI])

Newsemia
Automatic surgical gesture recognition is fundamental for improving intelligence in robot-assisted surgery, such as conducting complicated tasks of surgery surveillance and skill evaluation. However, current...
Latest News

Minimum Throughput Maximization for Multi-UAV Enabled WPCN: A Deep Reinforcement Learning Method

Newsemia
Tang, J; Song, J; Ou, J; Luo, J; Zhang, X; Wong, KK; (2020) Minimum Throughput Maximization for Multi-UAV Enabled WPCN: A Deep Reinforcement Learning Method....
Latest News

Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems

Newsemia
Sunehag, P; Lever, G; Liu, S; Merel, J; Heess, N; Leibo, JZ; Hughes, E; … Graepel, T; + view all Sunehag, P; Lever, G; Liu,...
Latest News

Reinforcement or compensation? Parental responses to children’s revealed human capital levels

Newsemia
Fan, W; Porter, C; (2020) Reinforcement or compensation? Parental responses to children’s revealed human capital levels. Journal of Population Economics , 33 (1) pp. 233-270....
AI/ML

Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations. (arXiv:1912.09007v1 [cs.LG])

Newsemia
We propose an explainable reinforcement learning (XRL) framework that analyzes an agent’s history of interaction with the environment to extract interestingness elements that help explain...

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