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Inferring Reward Functions from State Transitions: A Deep Learning Approach

Year: 2024

Type: conference-paper

Source: Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI: 10.1109/smc54092.2024.10832068

Authors: Tarannum Perween, Shuvra Neel Roy, Arup Kumar Sadhu, Ranjan Dasgupta

Institution: Tata Consultancy Services (India)

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4406611974

FWCI:

Cites: 7

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Related to: 10