Academic Paper

Reinforcement Learning under Partial Observability Guided by Learned Environment Models

On 25 Jun, 2022 By admin 0 Comments

June, 2022

Abstract

In practical applications, we can rarely assume full observability of a system's environment, despite such knowledge being important for determining a reactive control system's precise interaction with its environment. Therefore, we propose an approach for reinforcement learning (RL) in partially observable environments. While assuming that the environment behaves like a partially observable Markov decision process with known discrete actions, we assume no knowledge about its structure or transition probabilities.

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Serious Adverse Events of Special Interest Following mRNA Vaccination in Randomized Trials

On 23 Jun, 2022 By admin 0 Comments

June, 2022

Abstract

Introduction: In 2020, prior to COVID-19 vaccine rollout, the Coalition for Epidemic Preparedness Innovations and Brighton Collaboration created a priority list, endorsed by the World Health Organization, of potential adverse events relevant to COVID-19 vaccines. We leveraged the Brighton Collaboration list to evaluate serious adverse events of special interest observed in phase III randomized trials of mRNA COVID-19 vaccines.

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