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Practical Models for Sequential Decision Making in Natural Language Processing and Reinforcement Learning
R Ramamurthy - 2023 - bonndoc.ulb.uni-bonn.de
This thesis focuses on sequential decision and prediction (SDP) tasks, comprising structured
prediction (SP) and reinforcement learning (RL) tasks. These tasks are characterized by …
prediction (SP) and reinforcement learning (RL) tasks. These tasks are characterized by …
Evolutionary Algorithm with Phenotype Diversity for Virtual Network Embedding
With the diversification of applications using the Internet, network virtualization technologies
that flexibly allocate network resources are attracting attention. In network virtualization …
that flexibly allocate network resources are attracting attention. In network virtualization …
Guided Reinforcement Learning via Sequence Learning
Abstract Applications of Reinforcement Learning (RL) suffer from high sample complexity
due to sparse reward signals and inadequate exploration. Novelty Search (NS) guides as an …
due to sparse reward signals and inadequate exploration. Novelty Search (NS) guides as an …