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  Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

Tsirtsis, S., & Gomez Rodriguez, M. (2023). Finding Counterfactually Optimal Action Sequences in Continuous State Spaces. In A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hartdt, & S. Levine (Eds.), Advances in Neural Information Processing Systems 36 (pp. 3220-3247). Curran Associates, Inc.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-196B-E Version Permalink: https://hdl.handle.net/21.11116/0000-000F-1981-3
Genre: Conference Paper

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14084_finding_counterfactually_optim-2.pdf (Publisher version), 2MB
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 Creators:
Tsirtsis, Stratis1, Author           
Gomez Rodriguez, Manuel1, Author                 
Affiliations:
1Group M. Gomez Rodriguez, Max Planck Institute for Software Systems, Max Planck Society, ou_2105290              

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Language(s): eng - English
 Dates: 2023-05-312023
 Publication Status: Published online
 Pages: 28 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: TsirtsisNeurIPS23
 Degree: -

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Title: Thirty-seventh Annual Conference on Neural Information Processing Systems
Place of Event: New Orleans, LA, USA
Start-/End Date: 2023-12-10 - 2023-12-16

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Project name : HumanML
Grant ID : 945719
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Advances in Neural Information Processing Systems 36
  Abbreviation : NeurIPS 2023
  Subtitle : 37th Conference on Neural Information Processing Systems
Source Genre: Proceedings
 Creator(s):
Oh, A.1, Editor
Neumann, T.1, Editor
Globerson, A.1, Editor
Saenko, K.1, Editor
Hartdt, M.1, Editor
Levine, S.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Curran Associates, Inc
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3220 - 3247 Identifier: -