Starred repositories
Navigating a banana world using Dueling Double DQN network
erlerobot / gym-gazebo
Forked from openai/gymRefer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Here contains the Gazebo world environment files use in the simulation for the mentioned paper.
Indoor robot system simulation based on ROS. 基于ROS的室内机器人系统仿真(北京航空航天大学计算机学院-智能机器人环境感知与路径规划课程项目-暨第三十届冯如杯科技竞赛参赛项目)
A set of Gazebo worlds models and maps that I used for testing Navigation2
collection of gazebo models and worlds
DRL_Navigation_Robot_ROS2_Foxy
It simulates Rosbot movement on Gazebo and trains a rainforcement learning model DQN.
Our autonomous ground vehicle uses Frontier Based exploration to navigate and map unknown environments. Equipped with sensors, it can avoid obstacles and make real-time decisions. It has potential …
ROS simulated turtlebot which maps the environment autonomously
A small reinforcement learning library for my masters dissertation project
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真模拟,Adaptive-SAC
A curated list of reinforcement learning with human feedback resources (continually updated)
Long-Term Evolution Project of Reinforcement Learning
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven explora…
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
a nearest frontier based DQN alg for robot exploration
frontiers detector implementation for 2D Grid maps
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
# Analyzing-Visualizing-Data-PowerBI ![Analyzing-Visualizing-Data-PowerBI](https://www.edx.org/sites/default/files/course/image/promoted/dat207x-course_card_image11122015-378x225.png) This reposito…
[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
Implementation of LIDAR-based SLAM on 2-D grid map using particle filtering
Occupancy Grid Mapping simulation using given lidar data.