OBSERVATIONAL learningDECISION treesIn many areas, practitioners seek to use observational data to learn a treatment assignment policy that satisfies application鈥恠pecific constraints, such as budget, fairness, simplicity, or other functional form constraints. For example, policies may be restricted to ...
Policy learning with observational data Econometrica (2021) AuffhammerMaximilian Retrofit This (2021) BarboseGalen Let al. The future of utility customer-funded energy efficiency programs in the USA: projected spending and savings to 2025 Energy Effic. ...
Learning a policy using only observational data is challenging because the distribution of states it induces at execution time may differ from the distribution observed during training. We propose to train a policy by unrolling a learned model of the environment dynamics over multiple time steps while...
Models as Agents:Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning 1611 28:00 Causal Deep Reinforcement Learning Using observational Data 1608 26:00介绍 标签 直播标题 RLChina 论文研讨会第38期 开始时间 2023-02-07 16:00 题目:RLChina 论文研...
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes In applications of offline reinforcement learning to observational data, such as in healthcare or education, a general concern is that observed actions mig... A Bennett,N Kallus - 《Operations...
to sexuality, including human development, relationships, personal skills, sexual behaviors, including abstinence, sexual health, and society and culture. Comprehensive sex education programs provide students with opportunities for learning information, exploring their attitudes and values, and developing ...
(external validity). Several categorizations of the sources of bias and fairness in AI have been proposed in contexts such as social data (Olteanu et al.,2019), Machine Learning (ML) representations (Shahbazi et al.,2023), ML algorithms (Mehrabi et al.,2021), recommender systems (Chen et...
This study aimed to examine the appropriateness of learning environments in preprimary institutions, specifically focusing on preschools in Bahir Dar city, Ethiopia. To achieve this, a mixed-methods research approach was employed, guided by an adapted fr
effects. Claim 4 (that norms of prosocial behaviour are more effective when coupled with the expectation of social approval and modelled by in-group members who are central in social networks) was mostly tested on observational data, but the effect sizes found in these data were notably strong....
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