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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/michaeltmatthews/craftax

공식 코드

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

https://github.com/microsoft/iglu-datasets

공식 코드

IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents

https://github.com/microsoft/smartplay

공식 코드

SmartPlay: A Benchmark for LLMs as Intelligent Agents

https://github.com/mikelma/craftium

공식 코드

Craftium: An Extensible Framework for Creating Reinforcement Learning Environments

https://github.com/mineanybuild/mineanybuild

공식 코드

MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents

https://github.com/minerllabs/basalt-benchmark

공식 코드

BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks

https://github.com/ml-jku/align-rudder

공식 코드

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

https://github.com/ml-jku/helm

공식 코드

Semantic HELM: A Human-Readable Memory for Reinforcement Learning

https://github.com/openai/Video-Pre-Training

공식 코드

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

https://github.com/opengvlab/gitm

공식 코드

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

https://github.com/pku-rl/creative-agents

공식 코드

Creative Agents: Empowering Agents with Imagination for Creative Tasks

https://github.com/real-itu/3d-artefacts-nca

공식 코드

Growing 3D Artefacts and Functional Machines with Neural Cellular Automata

https://github.com/real-itu/Evocraft-py

공식 코드

EvoCraft: A New Challenge for Open-Endedness

https://github.com/sagara-r/beliefnest

공식 코드

BeliefNest: A Joint Action Simulator for Embodied Agents with Theory of Mind

https://github.com/salavi/MCPDial-A-Minecraft-Persona-driven-Dialogue-Dataset

공식 코드

MCPDial: A Minecraft Persona-driven Dialogue Dataset

https://github.com/schrum2/MM-NEAT

공식 코드

Evolving Flying Machines in Minecraft Using Quality Diversity

https://github.com/scunlp/bar

공식 코드

BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks

https://github.com/sjtuytc/Neurips21-ProTo-Program-guided-Transformers-for-Program-guided-Tasks

공식 코드

ProTo: Program-Guided Transformer for Program-Guided Tasks

https://github.com/skyworkai/matrix-game

공식 코드

Matrix-Game: Interactive World Foundation Model

https://github.com/smearle/control-pcgrl

공식 코드

Learning Controllable 3D Level Generators

https://github.com/spearsheep/APT-Architectural-Planning-LLM-Agent

공식 코드

APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agents

https://github.com/spl-bgu/polyplan

공식 코드

Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex Tasks

https://github.com/sustechgameai/text-to-building-in-minecraft

공식 코드

3D Building Generation in Minecraft via Large Language Models

https://github.com/tambetm/TSCL

공식 코드

Teacher-Student Curriculum Learning

https://github.com/tanchongmin/arc-challenge

공식 코드

Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge

https://github.com/teamcraft-bench/teamcraft

공식 코드

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

https://github.com/tufts-ai-robotics-group/polycraft-novelty-data

공식 코드

NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds

https://github.com/vaibhavsaxena11/cwvae

공식 코드

Clockwork Variational Autoencoders

https://github.com/vincentberaud/Minecraft-Reinforcement-Learning

공식 코드

Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft

https://github.com/viniciusguigo/kairos_minerl_basalt

공식 코드

Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft

https://github.com/wilson1yan/teco

공식 코드

Temporally Consistent Transformers for Video Generation

https://github.com/xiaonazhou/transdreamerv3

공식 코드

TransDreamerV3: Implanting Transformer In DreamerV3

https://github.com/ylkuo/ltl-zero-shot

공식 코드

Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas

https://github.com/yycdavid/program-synthesis-guided-rl

공식 코드

Program Synthesis Guided Reinforcement Learning for Partially Observed Environments

https://github.com/zhengxiangshi/learntoask

공식 코드

Learning to Execute Actions or Ask Clarification Questions

https://github.com/zju-vipa/odyssey

공식 코드

Odyssey: Empowering Minecraft Agents with Open-World Skills

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