jcpeterson / choices13k
☆58Updated 2 years ago
Alternatives and similar repositories for choices13k:
Users that are interested in choices13k are comparing it to the libraries listed below
- ☆31Updated 7 years ago
- ☆19Updated last year
- Resource Guide for learning how to simulate and model Reinforcement Learning☆31Updated 4 years ago
- Models of Sequential Decision-Making☆44Updated last week
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆40Updated 2 years ago
- ☆13Updated 5 years ago
- tomsup 👍 Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind☆67Updated last year
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated last year
- Predictive coding in Python☆65Updated 9 months ago
- Computational Cognitive Modeling (Spring 2024)☆30Updated 8 months ago
- Code and data for People construct simplified mental representations to plan☆22Updated last year
- ☆28Updated this week
- PyHGF: A neural network library for predictive coding☆63Updated this week
- ☆14Updated 4 years ago
- ☆31Updated 2 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆26Updated 6 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆31Updated 4 years ago
- Code and data for the paper "Deconstructing the human algorithms for exploration"☆14Updated 5 years ago
- A Python implementation of the VBA_groupBMC function from the VBA-toolbox by Lionel Rigoux.☆10Updated last year
- Inverse optimal control for continuous psychophysics☆26Updated last month
- Tools for serving and storing data from online experiments.☆17Updated 2 weeks ago
- Code and data for Feher da Silva, C., Hare, T.A. Humans primarily use model-based inference in the two-stage task. Nat Hum Behav (2020). …☆11Updated last year
- Mental state inference from observable behavior☆15Updated 3 years ago
- Reinforcement learning tutorial☆24Updated 7 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- ☆12Updated 5 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆34Updated 4 years ago
- Supplementary scripts for Step-by-step active inference modelling tutorial☆108Updated 3 months ago
- The COntextual INference (COIN) model☆20Updated 5 months ago
- Tutorials for MIND2019☆15Updated 5 years ago