Alternatives and similar repositories for self-imitation-via-reduction

Users that are interested in self-imitation-via-reduction are comparing it to the libraries listed below

• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• ahq1993 / compositional_reinforcement_learning
  Deep reinforcement learning-basedskill transfer and composition method
  ☆9Updated 5 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆33Updated 4 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆17Updated 3 years ago
• s-tian / mbold
  Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
  ☆20Updated 3 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆35Updated 3 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆29Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• Stanford-ILIAD / ELLA
  Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.
  ☆21Updated 4 years ago
• kouroshHakha / fist
  ☆11Updated 2 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• rll-research / finetune-vs-metarl
  ☆14Updated 3 years ago
• taodav / nsrs
  Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.
  ☆14Updated last year
• srsohn / msgi
  ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
  ☆18Updated 5 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• bhiziroglu / Language-as-an-Abstraction-for-Hierarchical-Deep-Reinforcement-Learning
  PyTorch Implementation of "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" paper
  ☆26Updated 3 years ago
• robbycostales / HAL
  Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)
  ☆14Updated 3 years ago
• kevinzakka / dm_env_wrappers
  Standalone library of frequently-used wrappers for dm_env environments.
  ☆17Updated last year
• akakzia / decstr
  ☆15Updated 3 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆30Updated 4 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• frt03 / inference-based-rl
  Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)
  ☆20Updated 3 years ago
• tonyzhaozh / meld
  MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
  ☆63Updated 4 years ago