Alternatives and similar repositories for MCU

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

• CraftJarvis / MC-TextWorld
  Text world based on Minecraft rules.
  ☆16Updated last year
• CraftJarvis / MineStudio
  MineStudio: A Streamlined Package for Minecraft AI Agent Development
  ☆306Updated 3 weeks ago
• linhaowei1 / kumo
  ☁️ KUMO: Generative Evaluation of Complex Reasoning in Large Language Models
  ☆19Updated 5 months ago
• CraftJarvis / MC-Planner
  Implementation of "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agen…
  ☆289Updated 2 years ago
• Timothyxxx / WorldModelPapers
  Paper collections of the continuous effort start from World Models.
  ☆188Updated last year
• LR32768 / DL_theory_exp
  ☆16Updated last year
• bigai-ai / civrealm
  CivRealm is an interactive environment for the open-source strategy game Freeciv-web based on Freeciv, a Civilization-inspired game.
  ☆129Updated last year
• EmbodiedBench / EmbodiedBench
  [ICML 2025 Oral] Official repo of EmbodiedBench, a comprehensive benchmark designed to evaluate MLLMs as embodied agents.
  ☆207Updated 2 weeks ago
• embodied-agent-interface / embodied-agent-interface
  Embodied Agent Interface (EAI): Benchmarking LLMs for Embodied Decision Making (NeurIPS D&B 2024 Oral)
  ☆266Updated 8 months ago
• todexter3 / Richelieu
  ☆16Updated last year
• xlang-ai / text2reward
  [ICLR 2024 Spotlight] Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
  ☆186Updated 10 months ago
• atecup / atec2025_software_algorithm
  Simulators and baselines for ATEC 2025 software algorithm track (online competition)
  ☆11Updated 6 months ago
• ChangWinde / RAT
  [AAAI 2025 Oral] Official code for "RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors"
  ☆30Updated 8 months ago
• dunnolab / awesome-in-context-rl
  Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —
  ☆247Updated 2 months ago
• RL4VLM / RL4VLM
  Official Repo for Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
  ☆396Updated 10 months ago
• UMass-Embodied-AGI / COMBO
  Source codes for the paper "COMBO: Compositional World Models for Embodied Multi-Agent Cooperation"
  ☆44Updated 7 months ago
• yuqingd / ellm
  ☆88Updated 2 years ago
• PKU-RL / Plan4MC
  [NeurIPS 2023 FMDM Workshop] Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
  ☆191Updated last year
• OpenCausaLab / ADAM
  ☆22Updated 7 months ago
• mll-lab-nu / VAGEN
  Training VLM agents with multi-turn reinforcement learning
  ☆293Updated 2 weeks ago
• teamcraft-bench / teamcraft
  ☆43Updated 2 months ago
• OpenDFM / Rememberer
  [NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents
  ☆38Updated last year
• CraftJarvis / MC-Controller
  Implementation of "Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction"
  ☆46Updated 2 years ago
• szxiangjn / world-model-for-language-model
  ☆131Updated last year
• mikelma / componet
  Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)
  ☆23Updated last year
• qiwang067 / LS-Imagine
  [ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"
  ☆177Updated 3 weeks ago
• 2toinf / DecisionNCE
  [ICML 2024] The offical Implementation of "DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning"
  ☆81Updated 5 months ago
• ltlhuuu / PSEC
  [ICLR 2025] The offical implementation of "PSEC: Skill Expansion and Composition in Parameter Space", a new framework designed to facilit…
  ☆60Updated 8 months ago
• 123penny123 / Awesome-LLM-RL
  A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.
  ☆379Updated last year
• lilucse / SparseNetwork4DRL
  [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
  ☆39Updated 5 months ago