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Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning
Offline reinforcement learning agents seek optimal policies from fixed data sets. With environmental interaction prohibited, agents face significant...
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Off-policy evaluation for tabular reinforcement learning with synthetic trajectories
This paper addresses the problem of offline evaluation in tabular reinforcement learning (RL). We propose a novel method that leverages synthetic...
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Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control
Off-policy learning, where the goal is to learn about a policy of interest while following a different behavior policy, constitutes an important...
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How can policy document mentions to scholarly papers be interpreted? An analysis of the underlying mentioning process
Policy document mentions are useful for assessing the societal impact of scholarly papers. However, how policy document mentions can be interpreted...
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Policy sha** the impact of open-access publications: a longitudinal assessment
This study investigated the longitudinal impact of Open-Access (OA) publication in Israel, a country which has not yet adopted a formal OA policy. We...
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Adaptive Evolutionary Reinforcement Learning with Policy Direction
Evolutionary Reinforcement Learning (ERL) has garnered widespread attention in recent years due to its inherent robustness and parallelism. However,...
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Policy advice and best practices on bias and fairness in AI
The literature addressing bias and fairness in AI models ( fair-AI ) is growing at a fast pace, making it difficult for novel researchers and...
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MPNet: temporal knowledge graph completion based on a multi-policy network
Temporal knowledge graphs completion (TKGC) is a critical task that aims to forecast facts that will occur in future timestamps. It has attracted...
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Can open access increase LIS research’s policy impact? Using regression analysis and causal inference
The relationship between open access and academic impact (usually measured as citations received from academic publications) has been extensively...
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Updatable Policy-Compliant Signatures
Policy-compliant signatures (PCS) are a recently introduced primitive by Badertscher et al. [TCC 2021] in which a central authority distributes...
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Re-attentive experience replay in off-policy reinforcement learning
Experience replay, which stores past samples for reuse, has become a fundamental component of off-policy reinforcement learning. Some pioneering...
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Policy Guidelines for Smart Sanitation Technology as a Public Health Tool
Smart sanitation technology, or SST, refers to digital technologies applied to the sanitation industry. The breadth of applications can be wide, and...
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Offline policy reuse-guided anytime online collective multiagent planning and its application to mobility-on-demand systems
The popularity of mobility-on-demand (MoD) systems boosts online collective multiagent planning (Online_CMP), where spatially distributed servicing...
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Policy Issues
The application of Artificial Intelligence Cyber defense Agents (or AICA) poses policy challenges to civil and military doctrine- and policy-makers....
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Balanced prioritized experience replay in off-policy reinforcement learning
In Off-Policy reinforcement learning (RL), the experience imbalance problem can affect learning performance. The experience imbalance problem refers...
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Efficient Flow Table Caching Architecture and Replacement Policy for SDN Switches
Software-defined networks (SDN) rely on flow tables to forward packets from different flows with different policies. To speed up packet forwarding,...
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A comprehensive AI policy education framework for university teaching and learning
This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI...
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A home energy management approach using decoupling value and policy in reinforcement learning
Considering the popularity of electric vehicles and the flexibility of household appliances, it is feasible to dispatch energy in home energy systems...
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Influence of research on open science in the public policy sphere
This paper analyses the scientific activity related to open science in Spain and its influence on public policy from a bibliometric perspective. For...
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Joint Policy for Virtual Network Embedding in Distributed SDN-Enabled Cloud
Network Virtualization (NV) has been devised as one of the key bases of operative cloud systems. Commonly, Cloud Providers (CPs) seek to design their...
