Alternatives and similar repositories for DeepActiveInference

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

• mazpie / contrastive-aif
  [NeurIPS 2021] Contrastive learning formulation of the active inference framework, for matching visual goal states.
  ☆13Updated last year
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• alec-tschantz / rl-inference
  Reinforcement Learning through Active Inference
  ☆72Updated 5 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆89Updated 3 years ago
• Grottoh / Deep-Active-Inference-for-Partially-Observable-MDPs
  ☆26Updated 4 years ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆21Updated 6 months ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago
• vicariousinc / naturecomm_cscg
  ☆40Updated 2 years ago
• nathanwispinski / meta-rl
  A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.
  ☆17Updated 2 years ago
• alec-tschantz / action-oriented
  Repository for "Learning action-oriented models through active inference"
  ☆12Updated 5 years ago
• KempnerInstitute / nicewebrl
  NiceWebRL is a Python library for quickly making human subject experiments that leverage machine reinforcement learning environments.
  ☆26Updated last week
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆142Updated last year
• markkho / value-guided-construal
  Code and data for People construct simplified mental representations to plan
  ☆23Updated last year
• BerenMillidge / Theory_Associative_Memory
  repo for code for paper on general theory associative memory models
  ☆19Updated 2 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 …
  ☆35Updated 4 years ago
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆54Updated 4 years ago
• pl-robotdecision / tutorials-active-inference
  Free Energy Principle and Active Inference tutorials for newbies
  ☆47Updated 4 years ago
• martius-lab / GateL0RD
  Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
  ☆22Updated 2 years ago
• Kaixhin / EC
  Episodic Control
  ☆20Updated 2 years ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆48Updated 11 months ago
• ahmed-touati / controllable_agent
  ☆45Updated 2 years ago
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆137Updated 3 years ago
• Wanqianxn / usfa
  Implementation of USFAs: https://arxiv.org/pdf/1812.07626.pdf
  ☆9Updated 6 years ago
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• mariacer / strong_dfc
  Minimizing Control for Credit Assignment with Strong Feedback
  ☆14Updated 7 months ago
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆73Updated 9 months ago
• infer-actively / pypc
  Predictive coding in Python
  ☆65Updated last year
• markkho / msdm
  Models of Sequential Decision-Making
  ☆49Updated 4 months ago
• ALRhub / MTS3
  Implementation of Neurips 2023 Paper "Multi Time Scale World Models"
  ☆13Updated 6 months ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago