Alternatives and similar repositories for deep-active-inference-mc

Users that are interested in deep-active-inference-mc are comparing it to the libraries listed below

• alec-tschantz / rl-inference
  Reinforcement Learning through Active Inference
  ☆78Updated 5 years ago
• BerenMillidge / DeepActiveInference
  Code for the paper Deep Active Inference as Variational Policy Gradients.
  ☆26Updated 6 years ago
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• BerenMillidge / FEP_Active_Inference_Papers
  A repository for major/influential FEP and active inference papers.
  ☆215Updated 4 years ago
• Grottoh / Deep-Active-Inference-for-Partially-Observable-MDPs
  ☆26Updated 4 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆54Updated 6 years ago
• mazpie / contrastive-aif
  [NeurIPS 2021] World modelling and action learning using a contrastive formulation of the active inference framework, for reaching visual…
  ☆15Updated last year
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆145Updated 4 years ago
• awjuliani / neuro-nav
  A library for neuroscience-inspired navigation and decision making research.
  ☆210Updated 10 months ago
• manantomar / DSR
  Deep Successor Representation
  ☆18Updated 7 years ago
• nathanwispinski / meta-rl
  A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.
  ☆17Updated 2 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆70Updated last year
• markkho / value-guided-construal
  Code and data for People construct simplified mental representations to plan
  ☆23Updated 2 years ago
• mdcrosby / animal-ai
  Animal-AI 3
  ☆65Updated 2 years ago
• pl-robotdecision / tutorials-active-inference
  Free Energy Principle and Active Inference tutorials for newbies
  ☆50Updated 5 years ago
• BKHMSI / Meta-RL-TwoStep-Task
  PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …
  ☆36Updated 5 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆63Updated 2 years ago
• rssmith33 / Active-Inference-Tutorial-Scripts
  Supplementary scripts for Step-by-step active inference modelling tutorial
  ☆126Updated last year
• vicariousinc / naturecomm_cscg
  ☆41Updated 3 years ago
• abhisheknaik96 / average-reward-methods
  Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
  ☆15Updated 4 years ago
• Kinds-of-Intelligence-CFI / animal-ai
  Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
  ☆85Updated 2 months ago
• mtrazzi / two-step-task
  Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…
  ☆59Updated 6 years ago
• vschaik / Active-Inference
  Python implementation of a Minimal Active Inference Agent
  ☆17Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• KempnerInstitute / nicewebrl
  NiceWebRL is a Python library for quickly making human subject experiments that leverage machine reinforcement learning environments.
  ☆76Updated 3 weeks ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆144Updated 4 years ago
• markkho / msdm
  Models of Sequential Decision-Making
  ☆52Updated 11 months ago
• sunchipsster1 / ConSpec
  ☆20Updated last year
• infer-actively / pymdp
  A Python implementation of active inference for Markov Decision Processes
  ☆590Updated last week
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆23Updated last year