Alternatives and similar repositories for Active-Inference-Capsule

Users that are interested in Active-Inference-Capsule are comparing it to the libraries listed below

• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆45Updated last year
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆46Updated 2 years ago
• ml-jku / helm
  ☆57Updated last year
• twitter-research / hyperbolic-rl
  ☆58Updated 3 years ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆83Updated 3 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆111Updated 2 years ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆86Updated 3 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• ademiadeniji / irm
  Intrinsic Reward Matching (IRM) implementation (from Adeniji and Xie et al 2022)
  ☆42Updated 2 years ago
• AutonomousAgentsLab / cr-dv3
  DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…
  ☆37Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆34Updated 2 years ago
• tonyzhaozh / meld
  MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
  ☆67Updated 4 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆17Updated last year
• brentyi / minGPT-flax
  GPT implementation in Flax
  ☆18Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• kzl / lifelong_rl
  Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…
  ☆109Updated 4 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆30Updated 2 years ago
• Yusufma03 / CVRL
  code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
  ☆24Updated 4 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• alec-tschantz / planet
  PlaNet: Learning Latent Dynamics for Planning from Pixels
  ☆10Updated 5 years ago
• google-deepmind / pushworld
  PushWorld: A benchmark for manipulation planning with tools and movable obstacles
  ☆90Updated 3 weeks ago
• ahmed-touati / controllable_agent
  ☆55Updated 2 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆69Updated 4 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆76Updated 2 years ago
• flowersteam / Imagine
  Code for the paper Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration
  ☆33Updated 5 years ago
• marc-rigter / waker
  Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.
  ☆28Updated 2 years ago
• Grottoh / Deep-Active-Inference-for-Partially-Observable-MDPs
  ☆26Updated 5 years ago
• JasonMa2016 / SMODICE
  Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…
  ☆28Updated 3 years ago