rmgeddert / Reinforcement-Learning-Resource-GuideLinks
Resource Guide for learning how to simulate and model Reinforcement Learning
☆32Updated 5 years ago
Alternatives and similar repositories for Reinforcement-Learning-Resource-Guide
Users that are interested in Reinforcement-Learning-Resource-Guide are comparing it to the libraries listed below
Sorting:
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆33Updated 2 years ago
- notebooks, quizes, exams and labs for nyu psychology lab courses☆19Updated 11 months ago
- ☆13Updated 9 years ago
- ☆31Updated last year
- Reaction Time Distributions - An Interactive Overview☆44Updated 4 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Updated last year
- Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.☆14Updated 8 years ago
- ☆13Updated 6 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆28Updated last year
- Run adaptive decision making experiments☆16Updated 3 years ago
- Course material for the Advanced Cognitive Modeling class (Master students, Aarhus University)☆20Updated 4 years ago
- Slides☆57Updated 7 months ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆12Updated last year
- Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth☆99Updated 8 months ago
- ☆69Updated 3 years ago
- A simple JavaScript library that uses jsPsych and Google Sheet for running behavioral experiments online☆15Updated 4 years ago
- Programs in Cognitive Choice Modeling Book☆11Updated 4 years ago
- An R software package to write, train, tune, test, and compare machine-learning models of cognition☆26Updated 2 years ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆24Updated 7 years ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated last year
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago
- This folder contains all the material to be used in the FLUX 2021 Model-free and Model-based computational workshop☆18Updated 4 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 years ago
- ☆20Updated 6 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago
- Teaching materials for BayesCog at Faculty of Psychology, University of Vienna☆147Updated 4 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 5 years ago
- Code for a seminar talk at University of Leicester, UK☆27Updated 4 years ago
- Tools for serving and storing data from online experiments.☆17Updated 3 months ago
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆21Updated 8 years ago