sjgershm / RL-tutorialLinks
Reinforcement learning tutorial
☆24Updated 8 years ago
Alternatives and similar repositories for RL-tutorial
Users that are interested in RL-tutorial are comparing it to the libraries listed below
Sorting:
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆30Updated 7 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆33Updated 5 years ago
- Models of Sequential Decision-Making☆51Updated 6 months ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆42Updated 3 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆22Updated 7 years ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated last year
- tomsup 👍 Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind☆68Updated 2 years ago
- repository for grid cell network code☆63Updated 2 years ago
- Supplementary scripts for Step-by-step active inference modelling tutorial☆120Updated 9 months ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- ☆16Updated 5 years ago
- Predictive coding in Python☆67Updated last year
- Recurrent state-space models for decision making☆30Updated 2 years ago
- An ongoing journal club for the study of big ideas in neuro☆33Updated 2 years ago
- A curated collection of neuroscience tasks with a common interface.☆293Updated 2 weeks ago
- A curated list of awesome neuro-foundation models☆22Updated 3 weeks ago
- ☆23Updated 3 years ago
- A block modeling system for cognitive neuroscience☆95Updated this week
- Tutorials for MIND2019☆15Updated 5 years ago
- ☆14Updated 5 years ago
- ☆41Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020☆10Updated 5 years ago
- ☆19Updated 8 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- Source code for https://meta-meta-resources.org☆20Updated 2 years ago
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Updated 5 years ago