People Can Adaptively Exploit Model-free and Model-based Reinforcement Learning in Competitive Games.
Saved in:
| Title: | People Can Adaptively Exploit Model-free and Model-based Reinforcement Learning in Competitive Games. |
|---|---|
| Authors: | Howatt BC; Kansas State University, Manhattan, USA., Young ME; Kansas State University, Manhattan, USA. |
| Source: | Quarterly journal of experimental psychology (2006) [Q J Exp Psychol (Hove)] 2026 Aug; Vol. 79 (8), pp. 1999-2019. Date of Electronic Publication: 2026 Mar 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Sage in association with Experimental Psychology Society Country of Publication: England NLM ID: 101259775 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1747-0226 (Electronic) Linking ISSN: 17470218 NLM ISO Abbreviation: Q J Exp Psychol (Hove) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
