rmgeddert / Reinforcement-Learning-Resource-GuideLinks
Resource Guide for learning how to simulate and model Reinforcement Learning
☆31Updated 4 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.☆31Updated last year
- ☆13Updated 8 years ago
- notebooks, quizes, exams and labs for nyu psychology lab courses☆19Updated 7 months ago
- ☆20Updated 6 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆27Updated last year
- ☆13Updated 6 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Updated last year
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆23Updated 7 years ago
- Reaction Time Distributions - An Interactive Overview☆44Updated 3 years ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated last year
- ☆31Updated last year
- Code for a seminar talk at University of Leicester, UK☆25Updated 4 years ago
- Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.☆14Updated 7 years ago
- scripts for the computational modelling workshop at FLUX 2021☆16Updated 3 years ago
- PyJAGS: The Python Interface to JAGS☆12Updated 5 years ago
- Run adaptive decision making experiments☆16Updated 3 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 4 years ago
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆22Updated 7 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆14Updated 4 years ago
- Models of Sequential Decision-Making☆49Updated 4 months ago
- This folder contains all the material to be used in the FLUX 2021 Model-free and Model-based computational workshop☆17Updated 3 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆12Updated 7 months ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated last year
- Programs in Cognitive Choice Modeling Book☆11Updated 3 years ago
- Bayesian Cognitive Modelling☆19Updated 9 months ago
- ☆12Updated 6 years ago
- python port: An Introduction to Bayesian Data Analysis for Cognitive Science☆15Updated last year
- Slides☆57Updated 2 months ago
- Code and website accompanying Farrell & Lewandowsky's (2017) book☆63Updated last month
- Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).☆10Updated last year