Alternatives and similar repositories for PIDcontrolActiveInference

Users that are interested in PIDcontrolActiveInference are comparing it to the libraries listed below

• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 4 years ago
• dimarkov / aibandits
  Active inference implementation of dynamic multi-armed bandits
  ☆19Updated 3 months ago
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆13Updated 3 years ago
• glajoie / MAT6115_Dynamical_Systems
  Support material for MAT6115, Université de Montréal, Fall 2018
  ☆27Updated last year
• infer-actively / pypc
  Predictive coding in Python
  ☆69Updated last year
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆92Updated 3 months ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 4 years ago
• pl-robotdecision / tutorials-active-inference
  Free Energy Principle and Active Inference tutorials for newbies
  ☆49Updated 4 years ago
• conorheins / bayesian-mechanics-sdes
  ☆14Updated 2 years ago
• BerenMillidge / DeepActiveInference
  Code for the paper Deep Active Inference as Variational Policy Gradients.
  ☆25Updated 5 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• marineschimel / ilqr_vae
  ☆11Updated 2 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆30Updated last year
• conorheins / collective_motion_actinf
  Code for simulating collective motion from groups of continuous-time and -space active inference agents.
  ☆50Updated last year
• Dynamics-of-Neural-Systems-Lab / RVGP
  A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…
  ☆24Updated 11 months ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 2 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 3 years ago
• jamesheald / COIN
  The COntextual INference (COIN) model
  ☆24Updated last year
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated 2 years ago
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated 2 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• RothkopfLab / lqg
  Inverse optimal control for continuous psychophysics
  ☆27Updated 3 months ago
• bwbrunton / dmd-neuro
  code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings
  ☆27Updated 9 years ago
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆34Updated 5 years ago
• nathanwispinski / meta-rl
  A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.
  ☆17Updated 2 years ago
• payampiray / LinearRL
  ☆23Updated 4 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆53Updated 7 years ago
• oizumi-lab / GWTune
  ☆22Updated 7 months ago