Alternatives and similar repositories for THICK

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

• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆85Updated last year
• google-deepmind / dmc_vision_benchmark
  ☆27Updated last year
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆73Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆93Updated last year
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆71Updated last year
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• Lifelong-ML / CompoSuite
  Official release of CompoSuite, a compositional RL benchmark
  ☆50Updated last year
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆40Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆27Updated 2 years ago
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• arnavkj1995 / VSG
  Learning Robust Dynamics Through Variational Sparse Gating
  ☆20Updated 2 years ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆120Updated last year
• UtkarshMishra04 / pixel-representations-RL
  This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learni…
  ☆14Updated 2 years ago
• younggyoseo / apv
  ☆70Updated 3 years ago
• mazpie / choreographer
  [ICLR 2023] Choreographer: a model-based agent that discovers and learns unsupervised skills in latent imagination, and it's able to effi…
  ☆41Updated last year
• danijar / embodied
  Fast reinforcement learning research
  ☆61Updated 8 months ago
• rmrafailov / VMAIL
  ☆25Updated 3 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆85Updated 2 years ago
• jianlanluo / SAQ
  ☆33Updated 2 months ago
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆55Updated 3 weeks ago
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆106Updated 2 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• martius-lab / SMORL
  ☆22Updated 2 years ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 3 months ago