Alternatives and similar repositories for Deep-Active-Inference-for-Partially-Observable-MDPs:

Users that are interested in Deep-Active-Inference-for-Partially-Observable-MDPs 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
• alec-tschantz / rl-inference
  Reinforcement Learning through Active Inference
  ☆71Updated 4 years ago
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• BerenMillidge / DeepActiveInference
  Code for the paper Deep Active Inference as Variational Policy Gradients.
  ☆24Updated 5 years ago
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆87Updated 3 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…
  ☆52Updated 4 years ago
• yuchen-x / MacroMARL
  ☆21Updated 10 months ago
• nathanwispinski / meta-rl
  A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.
  ☆15Updated last year
• 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 …
  ☆34Updated 4 years ago
• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆16Updated 2 years ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆18Updated 3 months ago
• shamanez / VUSFA-Variational-Universal-Successor-Features-Approximator
  This repository contains implementations of the paper VUSFA
  ☆13Updated 3 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆38Updated 6 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• tseyde / decqn
  ☆35Updated 2 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆60Updated last year
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• alec-tschantz / planet
  PlaNet: Learning Latent Dynamics for Planning from Pixels
  ☆10Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 3 months ago
• adanielnoel / Active-Inference-Capsule
  Implementation of an active inference capsule
  ☆16Updated 3 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆68Updated last year
• manantomar / DSR
  Deep Successor Representation
  ☆17Updated 6 years ago
• cross32768 / PlaNet_PyTorch
  Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch
  ☆44Updated 4 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• erwanbou / sf-deep-rl
  Project on Successor Features in Deep Reinforcement Learning and Transfer Learning
  ☆24Updated 7 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• ahmed-touati / controllable_agent
  ☆42Updated last year
• baimingc / delay-aware-MBRL
  Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".
  ☆26Updated 5 years ago