Thesis
Planning with learned ignorance-aware models
- Abstract:
-
One of the goals of artificial intelligence research is to create decision-makers (i.e., agents) that improve from experience (i.e., data), collected through interaction with an environment. Models of the environment (i.e., world models) are an explicit way that agents use to represent their knowledge, enabling them to make counterfactual predictions and plans without requiring additional environment interactions. Although agents that plan with a perfect...
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Authors
Contributors
+ Gal, Y
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Supervisor
ORCID:
0000-0002-2733-2078
+ Grefenstette, E
Role:
Examiner
+ Foerster, J
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Examiner
ORCID:
0000-0001-9688-2498
Funding
+ J.P. Morgan
More from this funder
Funding agency for:
Filos, A
Programme:
2021 J.P. Morgan PhD Fellowship
Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- DOI:
Item Description
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2024-05-10
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Terms of use
- Copyright holder:
- FIlos, A
- Copyright date:
- 2022
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