Alternatives and similar repositories for THICK:

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

• 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
• arnavkj1995 / VSG
  Learning Robust Dynamics Through Variational Sparse Gating
  ☆21Updated 2 years ago
• martius-lab / SMORL
  ☆22Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆42Updated last year
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆36Updated 2 years ago
• Lifelong-ML / CompoSuite
  Official release of CompoSuite, a compositional RL benchmark
  ☆47Updated last year
• google-deepmind / dmc_vision_benchmark
  ☆23Updated 8 months ago
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆85Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆23Updated last year
• ikostrikov / dmcgym
  ☆23Updated 2 years ago
• skezle / continual-dreamer
  Continual RL with wold models (Collas 2023)
  ☆16Updated last year
• changchencc / TransDreamer
  Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS
  ☆25Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆79Updated last year
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆73Updated last year
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated 10 months ago
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆63Updated 8 months ago
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆37Updated last year
• rmrafailov / VMAIL
  ☆22Updated 3 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆36Updated 2 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆30Updated 3 years ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆54Updated 11 months ago
• pbecker93 / vrkn
  Code for "On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning" (TMLR, 2022)
  ☆14Updated last year
• RyanNavillus / reward-surfaces
  ☆15Updated 10 months ago
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated 6 months ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆22Updated last year
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 2 years ago
• ikostrikov / jaxrl2
  ☆48Updated 2 years ago
• seohongpark / LSD
  Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)
  ☆34Updated last year
• chamorajg / pl-dreamer
  Simplistic Pytorch Implementation of the Dreamer-RL
  ☆21Updated 2 years ago