gongziyida / InfotaxisLinks
An implementation of infotaxis based on the paper "‘Infotaxis’ as a strategy for searching without gradients"
☆12Updated 5 years ago
Alternatives and similar repositories for Infotaxis
Users that are interested in Infotaxis are comparing it to the libraries listed below
Sorting:
- code for generating infotaxis trajectories☆19Updated 7 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆33Updated 5 years ago
- Reinforcement learning tutorial☆24Updated 8 years ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Illustration of Markov Decision Processes (MDPs)☆10Updated 5 years ago
- code for "Predictive representations can link model-based reinforcement learning to model-free mechanisms"☆19Updated 7 years ago
- Supplementary scripts for Step-by-step active inference modelling tutorial☆121Updated 10 months ago
- 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
- Active inference implementation of dynamic multi-armed bandits☆19Updated 2 months ago
- Materials for UC Berkeley Neuroscience 299☆53Updated 5 years ago
- Repository for "Learning action-oriented models through active inference"☆12Updated 5 years ago
- Models of Sequential Decision-Making☆52Updated 7 months ago
- Predictive coding in Python☆67Updated last year
- Estimate dynamic high-order correlations in multivariate timeseries data☆40Updated last month
- A Python package to simulate, solve and visualize the source-tracking POMDP☆16Updated 7 months ago
- Simulate Evidence Accumulation Models in Python☆23Updated 3 years ago
- ☆23Updated 4 years ago
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆18Updated last month
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Reinforcement Learning through Active Inference☆76Updated 5 years ago
- A short course for getting started with deep learning for intracranial extracellular neurophysiology.☆34Updated 3 years ago
- ☆19Updated 8 years ago
- ☆21Updated 6 months ago
- Interactive demos describing the main concepts behind GFlowNets☆10Updated last year
- [PNAS'18] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks☆20Updated 6 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10Updated 5 years ago
- ☆14Updated 2 years ago
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆22Updated 7 years ago
- A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.☆12Updated last year