Alternatives and similar repositories for Recall2Imagine

Users that are interested in Recall2Imagine are comparing it to the libraries listed below

• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆159Updated 2 years ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆78Updated 2 years ago
• google-deepmind / dmc_vision_benchmark
  ☆28Updated last year
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆101Updated last month
• mazpie / genrl
  [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…
  ☆84Updated 7 months ago
• FLAIROx / jafar
  JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"
  ☆91Updated 9 months ago
• escontra / viper_rl
  Using advances in generative modeling to learn reward functions from unlabeled videos.
  ☆135Updated last year
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆147Updated 3 months ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆128Updated last year
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆110Updated 2 years ago
• jrobine / twm
  Transformer-based World Models
  ☆86Updated 2 years ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆118Updated 4 months ago
• SonyResearch / simba
  ☆109Updated 8 months ago
• rail-berkeley / SUPE
  This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."
  ☆35Updated 4 months ago
• DAVIAN-Robotics / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆76Updated last week
• enjeeneer / zero-shot-rl
  VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)
  ☆21Updated 10 months ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆78Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆46Updated last year
• CognitiveModeling / THICK
  ☆26Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆60Updated last year
• heatz123 / tldr
  Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
  ☆34Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆91Updated 11 months ago
• jianlanluo / SAQ
  ☆35Updated 5 months ago
• vladisai / PLDM
  ☆45Updated 2 weeks ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆58Updated 3 months ago
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆86Updated last year
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago