Alternatives and similar repositories for icvf_release

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

• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆44Updated last year
• Alescontrela / viper_rl
  Using advances in generative modeling to learn reward functions from unlabeled videos.
  ☆134Updated last year
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆135Updated last week
• jrobine / twm
  Transformer-based World Models
  ☆85Updated 2 years ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆72Updated last year
• younggyoseo / apv
  ☆70Updated 3 years ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆117Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆91Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆106Updated last year
• mazpie / genrl
  [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…
  ☆79Updated 4 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• younggyoseo / MWM
  Masked World Models for Visual Control
  ☆129Updated 2 years ago
• XuGW-Kevin / DrM
  DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …
  ☆77Updated last year
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆158Updated 2 years ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆88Updated 8 months ago
• FLAIROx / jafar
  JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"
  ☆80Updated 7 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 …
  ☆40Updated last year
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆84Updated 2 years ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆77Updated last year
• younggyoseo / MV-MWM
  ☆56Updated 2 years ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆227Updated last month
• ezhang7423 / language-control-diffusion
  ☆31Updated last year
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆71Updated last year
• 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
• jeffacce / play-to-policy
  From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
  ☆55Updated 2 years ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆55Updated 3 weeks ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
  ☆107Updated last year
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• SonyResearch / simba
  ☆103Updated 6 months ago
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 3 months ago