Science Score: 54.0%
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○Scientific vocabulary similarity
Low similarity (3.5%) to scientific vocabulary
Last synced: 7 months ago
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Repository
DQN with context bandit task (Advised by @geraudnt)
Basic Info
- Host: GitHub
- Owner: SoanKim
- Language: Jupyter Notebook
- Default Branch: main
- Size: 195 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 4 years ago
· Last pushed 10 months ago
Metadata Files
Readme
Citation
README.md
SET
DQN with context bandit task (thanks to kind advice from @geraudnt.
My project is based on DQN with context bandit environment with the stimuli representing the cards of the board game, SET.
After observing the three cards with four features, the agent come to judge whether they are valid sets or not.

Requirements
matplotlib numpy>=1.11.0 torch==0.4.0 pandas scipy ipykernel
Future Work
- Feed the context in pixel
- Implementing inverse propensity score
Owner
- Name: Soan Kim
- Login: SoanKim
- Kind: user
- Repositories: 1
- Profile: https://github.com/SoanKim
Ph.D. student in Cognitive Neuroscience Psychological/deep reinforcement learning and fMRI
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: SET
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Soan
family-names: Kim
email: soan.kim9@gmail.com
repository-code: 'https://github.com/SoanKim/SET'
license: CC-BY-NC-4.0
commit: b3c5124
date-released: '2022-01-31'
GitHub Events
Total
- Push event: 3
Last Year
- Push event: 3