PyBullet Gymnasium环境,用于四轴飞行器控制的单智能体和多智能体强化学习
stable-baselines3 开源项目推荐(787 个)
stable-baselines3 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 787 个仓库基于八叉树的机器人抓取深度强化学习
⚡ ⚡ Deep RL (PPO) agent that manages a Uniswap V3 concentrated liquidity position, deciding when to hold, collect fees, or rebalance. Trained and validated against real on-chain data
🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable Baselines 3 library.
我们的代码库试验实现了 Select and Trade 论文,提出了利用层级强化学习进行配对交易的新范式。其中包含拟议方法的代码以及基于真实库存数据的实验结果,以展示其有效性。
Train quadruped locomotion using reinforcement learning in Mujoco
Code base for SICNav T-RO paper and SICNav-Diffusion RA-L paper
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
Modular DRL framework for autonomous robot navigation in ROS2. Plug-and-play RL backends (Stable-Baselines3, DreamerV3), composable reward functions, observation spaces & neural architectures - built for research and deployment.
Schola is a plugin for enabling Reinforcement Learning (RL) in Unreal Engine. It provides tools to help developers create environments, define agents, and connect to python-based RL frameworks such as OpenAI Gym, RLlib or Stable Baselines 3 for training agents with RL.
This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agents for a path planning problem.
OpenAI Gym environment solutions using Deep Reinforcement Learning.
SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.
My implementation of a reinforcement learning model using Stable-Baselines3 to play the NES Super Mario Bros.
OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.
Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
RL stock selection for China A-share — bundled polars-native factor library (105 Alpha101 + 191 GTJA Alpha191 = 296 factors), board-aware price limits, GPU train + ONNX CPU infer, MIT-licensed.
Deep Reinforcement Learning (DRL) stock trading system with LSTM-PPO, integrating technical indicators and FinBERT-based news sentiment analysis.
该项目在 GitHub 上没有填写描述
Reproducible OpenEnv-compatible reinforcement-learning environments for social-media integrity moderation.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/stable-baselines3。
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- 当前 20 个项目累计 4352 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
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