FUZZ-PPO: Fuzzy-Proximal Policy Optimisation for enhanced robotic control in dynamic environments using meta-reinforcement learning

Sanghera, BK and Walia, K ORCID logoORCID: https://orcid.org/0000-0002-9191-3571, 2025. FUZZ-PPO: Fuzzy-Proximal Policy Optimisation for enhanced robotic control in dynamic environments using meta-reinforcement learning. In: 2025 3rd International Conference on Control and Robot Technology (ICCRT 2025). IEEE, pp. 21-29. ISBN 9798331533762

Full text not available from this repository.
Item Type: Chapter in book
Description: Paper presented at 3rd International Conference on Control and Robot Technology (ICCRT), Singapore, Singapore, 16-18 April 2025.
Creators: Sanghera, B.K. and Walia, K.
Publisher: IEEE
Date: 10 July 2025
ISBN: 9798331533762
Identifiers:
Number
Type
10.1109/iccrt63554.2025.11072780
DOI
2475456
Other
Divisions: Schools > School of Science and Technology
Record created by: Laura Borcherds
Date Added: 30 Jul 2025 15:44
Last Modified: 30 Jul 2025 15:44
URI: https://irep.ntu.ac.uk/id/eprint/54079

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