rmgeddert / Reinforcement-Learning-Resource-Guide

Related projects: ⓘ

• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆31Updated 10 months ago
• jcpeterson / choices13k
  ☆54Updated 2 years ago
• aweinstein / FHDMM
  ☆13Updated 8 years ago
• mackelab / mnle-for-ddms
  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
  ☆17Updated 9 months ago
• cluhmann / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC code
  ☆15Updated last year
• gureckis / nyu_lab_in_cognition
  notebooks, quizes, exams and labs for nyu psychology lab courses
  ☆18Updated 4 months ago
• idamomen / predictive_representations
  ☆12Updated 5 years ago
• lei-zhang / BayesCog_v0.2
  ☆20Updated 5 years ago
• cognitive-science-stan / cognitive-science-stan.github.io
  ☆28Updated 10 months ago
• wkool / tradeoffs
  Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)
  ☆21Updated 6 years ago
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆30Updated 4 years ago
• drbenvincent / delay-discounting-analysis
  Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks
  ☆23Updated 6 years ago
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆22Updated 3 years ago
• tmiasko / pyjags
  PyJAGS: The Python Interface to JAGS
  ☆11Updated 4 years ago
• drbenvincent / bayesian2afc
  Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.
  ☆12Updated 6 years ago
• nivlab / nivturk
  Tools for serving and storing data from online experiments.
  ☆16Updated 3 months ago
• drbenvincent / darc_toolbox
  Run adaptive decision making experiments
  ☆16Updated 2 years ago
• nivlab / opendata
  This project has moved to https://github.com/nimh-dsst/OpenCogData
  ☆25Updated 9 months ago
• ajwills72 / catlearn
  Formal Psychological Models of Categorization and Learning
  ☆23Updated 7 months ago
• sjgershm / RL-tutorial
  Reinforcement learning tutorial
  ☆23Updated 7 years ago
• carolfs / muddled_models
  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). …
  ☆10Updated last year
• marcelomattar / PrioritizedReplay
  Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…
  ☆26Updated 6 years ago
• rtdists / rtdists
  RT distributions in R
  ☆45Updated 2 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆16Updated last year
• vasishth / bayescogsci
  Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
  ☆100Updated 3 weeks ago
• lindeloev / shiny-rt
  Reaction Time Distributions - An Interactive Overview
  ☆43Updated 2 years ago
• ContextLab / CDL-tutorials
  Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL
  ☆16Updated 4 years ago
• payampiray / VKF
  ☆13Updated 4 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• DrugowitschLab / MultiAlternativeDecisions
  Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.
  ☆9Updated 5 years ago