stable-baselines3

AndrejOrsula/drl_grasping

Deep Reinforcement Learning for Robotic Grasping from Octrees

The-FinAI/trials

Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.

alberto-mate/CARLA-SB3-RL-Training-Environment

🚗 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.

nimazareian/quadruped-rl-locomotion

Train quadruped locomotion using reinforcement learning in Mujoco

TommasoVandermeer/Hospitalbot-Path-Planning

This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agents for a path planning problem.

NickKaparinos/OpenAI-Gym-Projects

OpenAI Gym environment solutions using Deep Reinforcement Learning.

bilalkabas/PPO-based-Autonomous-Navigation-for-Quadcopters

Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.

sepsamavi/safe-interactive-crowdnav

Code base for SICNav T-RO paper and SICNav-Diffusion RA-L paper

ut-amrl/SocialGym2

SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.

Arena-Rosnav/rosnav-rl

RosNav-RL is a modular DRL framework for ROS 2 with a pluggable architecture, allowing you to switch between RL backends like Stable-Baselines3 and DreamerV3 to accelerate research and deployment.

araffin/rl-handson-rlvs21

Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.

marek-robak/Drone-2d-custom-gym-env-for-reinforcement-learning

OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.

yumouwei/super-mario-bros-reinforcement-learning

My implementation of a reinforcement learning model using Stable-Baselines3 to play the NES Super Mario Bros.

steventango/jumpstart-rl

Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3

ChernyakKonstantin/godot_gym_api

Godot Gym API is an Open Source framework for using Godot3 game engine as 3d-environment for training reinforcement learning agents implemented in Python on any data, including images and point clouds.

AliAmini93/WSN-Scheduling-with-Reinforcement-Learning

Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling in Wireless Sensor Networks (WSN), enhancing energy efficiency and state estimation through a custom simulation environment.

guillaume-marion/traffic-lights

stable-baselines3 reinforcement learning on SUMO traffic light system

AlexPasqua/DeepNetSlice

Reinforcement Learning tool for Network Slice Placement problems

doesburg11/PredPreyGrass

Intelligent Artificial Life. Researching behavior by nature and nurture simulation, deploying multi-agent reinforcement learning and evolving generational inheritance.

ZikangXiong/MFNLC

[IROS 22'] Model-free Neural Lyapunov Control

astrologos/tradinggym

A highly-customizable OpenAI gym environment to train & evaluate RL agents trading stocks and crypto.

Solrikk/CriptoWhisper

TradeWhisperer is a sophisticated cryptocurrency trading bot that leverages advanced Reinforcement Learning techniques, specifically the Proximal Policy Optimization (PPO) algorithm, to navigate the complex world of crypto markets. Built with a focus on adaptability and risk management, this bot combines technical analysis with machine learning.

paulchen2713/RIS-MISO-HWI-DRL

Implementation of the IEEE WCNC 2025 'Worst-Case MSE Minimization for RIS-Assisted mmWave MU-MISO Systems With Hardware Impairments and Imperfect CSI' paper

koshachya-myata/Data_Center_Simulation

Data Center Environment and Reinforcement Learning (RL) Control

shawn243498/Reinforcement-Learning-in-Controlling-Quadrotor-UAV-Flight-Actions

Using deep reinforcement learning to train drones to fly autonomously.

will-maclean/sb3-burn

Implementation of stable-baselines3 in rust with burn

rChimisso/2WSI-RL

Study on the application of reinforcement learning to the management of a traffic light intersection.

negarhonarvar/StockTrading_DRL

Automated stock trading strategy using deep reinforcement learning and recurrent neural networks

USNavalResearchLaboratory/task-scheduling

Python package implementing task generators, traditional and ML-based scheduling algorithms, and assessment tools.

lachlanhurst/balance-robot-mujoco-rl

Reinforcement Learning for a Self Balancing Robot (MuJoCo, Stable Baselines3, PyTorch)

donymorph/Dongfeng_competition

Building autonomous driving system by using CARLA simulator

Ruben-2828/RL-Godot-Pedestrian-Simulation

Curriculum–Based Reinforcement Learning for Pedestrian Simulation

kohonda/f1tenth_rl

marek-robak/Double-cartpole-custom-gym-env-for-reinforcement-learning

OpenAI Gym environment designed for training RL agents to balance double CartPole.

tganamur/RL-SNN-Quadrupeds

Teaching a quadruped robot to walk using a spiking neural network based architecture