Alternatives and similar repositories for BRIMs

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

• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• google-deepmind / dm_fast_mapping
  ☆54Updated 3 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆63Updated last year
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• WendyShang / flare
  Reinforcement Learning with Latent Flow
  ☆42Updated 4 years ago
• dido1998 / Recurrent-Independent-Mechanisms
  Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
  ☆100Updated 3 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆38Updated 6 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆82Updated 3 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• vaibhavsaxena11 / cwvae
  Clockwork Variational Autoencoder
  ☆47Updated 4 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆125Updated 6 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• tkipf / compile
  CompILE: Compositional Imitation Learning and Execution (ICML 2019)
  ☆112Updated 6 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 5 years ago
• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated last year
• zhixuan-lin / SPACE
  Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"
  ☆104Updated last year
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• alec-tschantz / planet
  PlaNet: Learning Latent Dynamics for Planning from Pixels
  ☆10Updated 5 years ago
• zhixuan-lin / G-SWM
  Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"
  ☆37Updated 2 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 4 years ago
• suraj-nair-1 / goal_aware_prediction
  Code for Goal-Aware Prediction: Learning to Model what Matters
  ☆20Updated 5 years ago
• htdt / lwm
  Latent World Models For Intrinsically Motivated Exploration | Official repository
  ☆22Updated 4 years ago
• stelzner / monet
  An implementation of the MONet model for unsupervised scene decomposition in PyTorch
  ☆59Updated 3 years ago
• johnlime / RlkitExtension
  Collection of reinforcement learning algorithms
  ☆16Updated 3 years ago
• srsohn / msgi
  ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
  ☆18Updated 5 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆57Updated 2 years ago