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Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm [PDF]
Learning optimal behavior from existing data is one of the most important problems in Reinforcement Learning (RL). This is known as "off-policy control" in RL where an agent's objective is to compute an optimal policy based on the data obtained from the given policy (known as the behavior policy).
arxiv
Institute for Public Policy National Poll - May 2021 [PDF]
The Sacred Heart University Institute for Public Policy leveraged a dual-methodology quantitative research approach to address the following areas of investigation: Thoughts on the quality of life in Connecticut Governor Ned Lamont’s job approval ...
Institute for Public Policy,
core +2 more sources
Education Policy as Public Policy [PDF]
This article examines the education policy currently implemented in Poland through the lens of understanding, characteristics, and functions of public policy.
Alina Wróbel
doaj +1 more source
Background In China, achieving health equity has been regarded as a key issue for health reform and development in the current context. It is well known that unemployment has a negative effect on health.
Yaxin Zhao+9 more
doaj +1 more source
Democratic Policy Development using Collective Dialogues and AI [PDF]
We design and test an efficient democratic process for developing policies that reflect informed public will. The process combines AI-enabled collective dialogues that make deliberation democratically viable at scale with bridging-based ranking for automated consensus discovery. A GPT4-powered pipeline translates points of consensus into representative
arxiv
Institute for Public Policy National Poll - March 2022 [PDF]
The Sacred Heart University Institute for Public Policy leveraged a digital quantitative research approach to address the following areas of investigation: Thoughts on the quality of life in Connecticut Calculate insight on National Politics ...
Institute for Public Policy,
core +1 more source
Climate Policy Tracker: Pipeline for automated analysis of public climate policies [PDF]
The number of standardized policy documents regarding climate policy and their publication frequency is significantly increasing. The documents are long and tedious for manual analysis, especially for policy experts, lawmakers, and citizens who lack access or domain expertise to utilize data analytics tools.
arxiv
Institute for Public Policy National Poll - February 2021 [PDF]
The Sacred Heart University Institute for Public Policy leveraged a dual-methodology quantitative research approach to address the following areas of investigation: Thoughts on the quality of life in Connecticut Governor Ned Lamont’s job approval ...
Institute for Public Policy,
core +1 more source
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States [PDF]
Learning to evaluate and improve policies is a core problem of Reinforcement Learning (RL). Traditional RL algorithms learn a value function defined for a single policy. A recently explored competitive alternative is to learn a single value function for many policies.
arxiv
Background Lack of knowledge and awareness on antimicrobial resistance (AMR) can result in irrational use of antibiotics, which is one of the major drivers of AMR.
Viroj Tangcharoensathien+6 more
doaj +1 more source