Search results
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Title
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'Practice' for Enhancing the Performance of a Deep Reinforcement Learning Agent
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Author
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Kancharla, Venkata Sai Santosh Ravi Teja
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Date Created
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2019
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Subjects--Topical
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Artificial intelligence
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Description
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Deep reinforcement learning has demonstrated its capability to solve a diverse array of challenging problems, which were not able to solve previously. It has been able to achieve human-level performance in Atari 2600 games and it has shown great p...
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Title
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Autonomous Cyber Defense: Formal Models and Applications
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Author
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Dutta, Ashutosh
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Date Created
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2021
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Subjects--Topical
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Computer science, Information science, Information technology
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Description
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With technological advancements, cyber attacks are highly automated and organized with asymmetric advantages over defenders regarding cost and efforts.Attackers employ sophisticated and diversified approaches to achieve attack objectives while bei...
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Title
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Coordinating decentralized learning and conflict resolution across agent boundaries
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Author
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Cheng, Shanjun
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Date Created
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2012
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Subjects--Topical
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Computer science, Information technology, Artificial intelligence
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Description
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It is crucial for embedded systems to adapt to the dynamics of openenvironments. This adaptation process becomes especially challenging in the context of multiagent systems because of scalability, partial information accessibility and complex inte...
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Title
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Deep Neural Language Generation with Emotional Intelligence and External Feedback
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Author
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Srinivasan, Vidhushini
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Date Created
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2018
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Subjects--Topical
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Computer science
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Description
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Neural seq2seq models are widely used to generate dialogue using variations of RNN Encoder-Decoder architecture with maximum likelihood estimation as objective function. Advances in this architecture include introducing reinforcement learning to t...
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Title
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Self-Propelling Robotic Hydrofoil Arrays: Mechanics, Efficiency, and Optimization
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Author
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Bhansali, Rakshit
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Date Created
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2018
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Subjects--Topical
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Mechanical engineering, Robotics
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Description
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Mathematical models for the self-propulsion of articulated bodies in fluids at low Reynolds number can be interpreted geometrically in terms of connections in principal bundles. Visualization of the local curvature of a connection in this context ...