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
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆104Updated 3 months ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆132Updated last year
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆155Updated 2 weeks ago
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆162Updated last month
• mazpie / genrl
  [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…
  ☆86Updated 9 months ago
• google-deepmind / dmc_vision_benchmark
  ☆31Updated last year
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated 2 years ago
• escontra / viper_rl
  Using advances in generative modeling to learn reward functions from unlabeled videos.
  ☆136Updated last year
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆80Updated 2 years ago
• jrobine / twm
  Transformer-based World Models
  ☆87Updated 2 years ago
• FLAIROx / jafar
  JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"
  ☆97Updated 11 months ago
• enjeeneer / zero-shot-rl
  VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)
  ☆22Updated last year
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆111Updated 2 years ago
• SonyResearch / simba
  ☆116Updated 10 months ago
• jianlanluo / SAQ
  ☆35Updated 7 months ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆81Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆47Updated last year
• DAVIAN-Robotics / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆82Updated 2 months ago
• heatz123 / tldr
  Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
  ☆35Updated last year
• rail-berkeley / SUPE
  This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."
  ☆35Updated 6 months ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆73Updated last year
• csmile-1006 / ARP
  Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
  ☆33Updated 2 years ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆65Updated 5 months ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆92Updated last year
• vladisai / PLDM
  ☆51Updated 2 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆61Updated last year
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆121Updated 2 years ago
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago