Indu Shukla

Reinforcement Learning Explainability Using Decision Tree in Combat Environment

Indu Shukla, Abderahim Salhi, James E. Ross, Gary J. Briggs

us (code pays fourni par la source)

Utility AI for Explainable Decision-Making in Six-DOF Simulation Environment

Indu Shukla, Abderahim Salhi, James E. Ross, Gary J. Briggs

us (code pays fourni par la source)

An Empirical Study for Adopting the Dimensions of Transformational Leadership in IT Companies

Awantika Tewari, Indu Shukla

Introduction: Transformational leadership is characterized by leaders who are able to motivate, convince, and intellectually stimulate their followers, so compelling them to choose the requirements of the organization over their own personal demands. Transformational leadership describes leaders capable of transcending their followers' …

in (code pays fourni par la source)

Integrating CSR Values into Recruitment and Selection Strategies

Shweta Bhadauria, Indu Shukla

This research paper explores the integration of Corporate Social Responsibility (CSR) values into recruitment and selection strategies. As organizations increasingly recognize the importance of CSR in their overall business strategy, there is a growing need to align human resource practices with these …

in (code pays fourni par la source)

Learning behavior of offline reinforcement learning agents

Indu Shukla, Haley R. Dozier, Althea C. Henslee

Reinforcement learning (RL) agents offer significant value for military applications by effectively navigating complex, dynamic environments typical of mission engineering and operational analysis. Once trained, these agents can be employed to inform mission planners on optimal strategies, tactics, or even innovative utilization …

us (code pays fourni par la source)

Data-Driven Reinforcement Learning for Mission Engineering and Combat Simulation

Althea C. Henslee, Indu Shukla, Haley R. Dozier, Brandon Hansen et autres

us (code pays fourni par la source)

AI on digital twin of facility captured by reality scans

Indu Shukla, Rajeev K. Agrawal, Kelly Ervin, Jonathan David Boone

The power of artificial intelligence (AI) coupled with optimization algorithms can be linked to data-rich digital twin models to perform predictive analysis to make better informed decisions about installation operations and quality of life for the warfighters. In the current research, we …

Automated Machine Learning Model Selection Analysis

Joseph E. Jabour, Althea C. Henslee, Haley R. Dozier, Indu Shukla et autres

Machine learning (ML) is a branch of artificial intelligence (AI) in which a program uses large sets of data to “learn” methods and patterns. Following the learning process, a model is created based on the learned information, which can then be applied …

us (code pays fourni par la source)

AI on digital twin of facility captured by reality scans

Indu Shukla, Rajeev K. Agrawal, Kelly Ervin, Jonathan David Boone

The power of artificial intelligence (AI) coupled with optimization algorithms can be linked to data-rich digital twin models to perform predictive analysis to make better informed decisions about installation operations and quality of life for the warfighters. In the current research, we …

us (code pays fourni par la source)

A Study of Model Based and Model Free Offline Reinforcement Learning

Indu Shukla, Haley R. Dozier, Althea C. Henslee

Reinforcement learning (RL) has received considerable attention for building autonomous systems with trained agents that interact with environments to learn optimal behavior. The RL requires a fundamentally online learning paradigm, one of the biggest obstacles for the widespread adoption of RL in …

us (code pays fourni par la source)