Graph representation based reward shaping approach for addressing reward sparsity in task-oriented dialogue systems

Seyed Ehsan Saffari; Morteza Dorrigiv; Farzin Yaghmaee

doi:10.1016/j.neucom.2025.131058

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Graph representation based reward shaping approach for addressing reward sparsity in task-oriented dialogue systems

Seyed Ehsan Saffari Morteza Dorrigiv Farzin Yaghmaee

Year: 2025 Journal: Neurocomputing Vol: 652 Pages: 131058-131058 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2025.131058

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Keywords:

Computer science Reward system Task (project management) Graph Representation (politics) Artificial intelligence Machine learning Theoretical computer science Cognitive psychology Psychology Neuroscience

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Speech and dialogue systems

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Multi-Agent Systems and Negotiation

Physical Sciences → Computer Science → Artificial Intelligence

Graph representation based reward shaping approach for addressing reward sparsity in task-oriented dialogue systems

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