| dc.contributor.author | Paidi, Avinash | |
| dc.date.accessioned | 2026-07-01T04:55:11Z | |
| dc.date.available | 2026-07-01T04:55:11Z | |
| dc.date.issued | 2026-05 | |
| dc.identifier.govdoc | NB19225 | |
| dc.identifier.uri | http://127.0.0.1/xmlui/handle/123456789/17398 | |
| dc.language.iso | en | en_US |
| dc.publisher | IIT Kharagpur | en_US |
| dc.subject | Granular Computing | en_US |
| dc.subject | Reinforcement Learning | en_US |
| dc.subject | Multi-Armed Bandits | en_US |
| dc.subject | Rough Set | en_US |
| dc.subject | Abstraction | en_US |
| dc.title | Granular Computing Approaches for Efficient Reinforcement Learning | en_US |
| dc.type | Thesis | en_US |