ljl199711129's Stars
vishweshvhavle/deep-rl-navigation
Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
GabryV00/DQN_ROS
Reinforcement Learning for Robot Navigation with ROS and Gazebo
MiPa12/openai_gym_ros
openai_ros is a toolkit developed by The Construct for developing and comparing reinforcement learning algorithms using ROS and Gazebo.
karray/neuroracer
Reinforcement Learning with OpenAI Gym and Gazebo Environment
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.
jstestsuite/ddpg_env
Setting up DDPG based reinforcement learning in ROS Gazebo environment
AcutronicRobotics/gym-gazebo2
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
dusty-nv/jetson-reinforcement
Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.
hooligan520/rocketmq-client4cpp-linux
RocketMQ C++ Client For Linux
875279177/incubator-rocketmq-externals
apache/rocketmq-client-cpp
Apache RocketMQ cpp client
apache/rocketmq
Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
alanxz/rabbitmq-c
RabbitMQ C client
Light-City/CPlusPlusThings
C++那些事
XqWang3/MAAC-master
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
jikexueyuanwiki/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
tensorflow/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Dylan2020THU/multi_agent_dqn
The decision brain for each agent in the system is modeled as Deep Q-Network (DQN). We will see how things happen in this multi-agent system.
shariqiqbal2810/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
johnjim0816/joyrl-offline
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
yoavalon/MultiQuadcopterReinforcmentLearning
Multi-Critic Policy Gradient Optimization for Quadcopter Coordination
j5207/DRL_Battle
Using Dueling Deep Reinforcement Learning playing tank battle in Pygame
ivanbalak/BFW-PPO
The Battle of Wesnoth Proximal Policy Optimization (PPO) AI system implementaion
loonggg/DevMoneySharing
独立开发者赚钱经验分享
alanyuwenche/PPO_MountainCar-v0
Applies PPO to solve "MountainCar-v0" successfully.
shouyuantianxia/Algorithmic-Game-Theory-Application-on-Multi-agent-Combat-and-Verification-Platform-Design
本科毕业设计:《多智能体博弈兵棋推演理论与验证平台设计》的源代码附录内容。强化学习算法的实现上参考了周沫凡先生的开源代码https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow