Alternatives and similar repositories for CoWorld

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

• 2toinf / DecisionNCE
  [ICML 2024] The offical Implementation of "DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning"
  ☆80Updated 7 months ago
• vivekmyers / palo
  Code for the paper "Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation"
  ☆29Updated 5 months ago
• t6-thu / awesome-cross-domain-policy-transfer-for-embodied-agents
  [IJCAI'24] An index of algorithms, approaches, and systems on cross-domain policy transfer for embodied agents
  ☆50Updated 3 months ago
• Liang-ZX / AdaptDiffuser
  [ICML'2023] "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners"
  ☆59Updated last year
• penn-pal-lab / scaffolder
  Official codebase for "Privileged Sensing Scaffolds Reinforcement Learning", contains the Scaffolder algorithm and Sensory Scaffolding Su…
  ☆27Updated last year
• ademiadeniji / lamp
  ☆45Updated last year
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆46Updated 2 months ago
• ComputationalRobotics / TRAC
  This repository is the official implementation of the TRAC optimizer in Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement …
  ☆25Updated last week
• Streaming-Diffusion-Policy / streaming_diffusion_policy
  Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models
  ☆55Updated 7 months ago
• StanfordVL / mini_behavior
  MiniGrid Implementation of BEHAVIOR Tasks
  ☆44Updated 9 months ago
• RishiHazra / saycanpay
  Official code release of AAAI 2024 paper SayCanPay.
  ☆47Updated last year
• Div99 / LISA
  (NeurIPS '22) LISA: Learning Interpretable Skill Abstractions - A framework for unsupervised skill learning using Imitation
  ☆27Updated 2 years ago
• tinnerhrhe / MTDiff
  ☆61Updated 5 months ago
• pairlab / QueST
  Official code for "QueST: Self-Supervised Skill Abstractions for Continuous Control" [NeurIPS 2024]
  ☆76Updated 5 months ago
• AlignmentResearch / vlmrm
  ☆55Updated 10 months ago
• younggyoseo / CQN-AS
  ☆17Updated 3 months ago
• zhehuazhou / LLM_Reward_Design
  ☆9Updated last year
• Lei-Kun / Uni-O4
  Author's Pytorch implementation of our ICLR 2024 paper "Uni-O4"
  ☆48Updated 3 months ago
• XuGW-Kevin / DrM
  DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …
  ☆74Updated 11 months ago
• burchim / TWISTER
  [ICLR 2025] Learning Transformer-based World Models with Contrastive Predictive Coding (TWISTER)
  ☆18Updated 2 months ago
• TEA-Lab / diffusion_reward
  [ECCV 2024] 💐Official implementation of the paper "Diffusion Reward: Learning Rewards via Conditional Video Diffusion"
  ☆102Updated 10 months ago
• sail-sg / edp
  [NeurIPS 2023] Efficient Diffusion Policy
  ☆100Updated last year
• SeanJia / CoTPC
  Chain-of-Thought Predictive Control
  ☆57Updated 2 years ago
• clvrai / boss
  Code for the paper Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance, accepted to CoRL 2023 as an…
  ☆31Updated 9 months ago
• pickxiguapi / Clean-Offline-RLHF
  Offline RLHF codebase implementation for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human …
  ☆37Updated last year
• Liang-ZX / SkillDiffuser
  [CVPR'2024] "SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution"
  ☆64Updated 7 months ago
• FrankZheng2022 / PRISE
  Codebase for PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem
  ☆22Updated 10 months ago
• jhejna / remix
  ☆38Updated 8 months ago
• mazpie / genrl
  [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…
  ☆78Updated last month
• Guozheng-Ma / DA-in-visualRL
  Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).
  ☆76Updated last year