DarthVaderW

MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

chroma

the AI-native open-source embedding database

pysc2

StarCraft II Learning Environment

AlphaZero_Gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

ResnetGPT

用Resnet101+GPT搭建一个玩王者荣耀的AI

reflexion

[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

WZCQ

用基于策略梯度得强化学习方法训练AI玩王者荣耀

LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

awesome-model-based-RL

A curated list of awesome model based RL resources (continually updated)

pysc2-examples

StarCraft II - pysc2 Deep Reinforcement Learning Examples

hok_env

Honor of Kings AI Open Environment of Tencent

humanoid-gym

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695

Awesome-Papers-Autonomous-Agent

A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.

python-sc2

A StarCraft II bot api client library for Python 3

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

LLM-with-RL-papers

A collection of LLM with RL papers

DiLu

[ICLR 2024] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Agent-Driver

A Language Agent for Autonomous Driving

Large-Language-Models-play-StarCraftII

TextStarCraft2,a pure language env which support llms play starcraft2

pbrs-humanoid

RAFA_code

cheat-and-gin

C++ cheat engine (memory scanner)

llm-mcts

[NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling better-reasoned decision-making for daily task planning problems.

AlphaGo-Zero-Gobang

Meta-Zeta是一个基于强化学习的五子棋(Gobang)模型，主要用以了解AlphaGo Zero的运行原理的Demo，即神经网络是如何指导MCTS做出决策的，以及如何自我对弈学习。源码+教程

LLM4RL

A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM

Doudizhu_plus

Danzero_plus

Gomoku-In-LLM

Gomoku-In-LLM 是一个致力于使用LLM实现五子棋的项目

XJTUSE2020_LAC_Control

西安交通大学2020春软件工程课程小组项目：LAC Control