DRL-robot-navigation
Dstar-lite-pathplanner
DRL-robot-navigation | Dstar-lite-pathplanner | |
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1 | 1 | |
440 | 129 | |
- | - | |
2.1 | 2.7 | |
9 months ago | 5 months ago | |
Python | Python | |
MIT License | MIT License |
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DRL-robot-navigation
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It may be a dumb question but please bare with me
That's the link of the github I'm trying to convert completely to ROS2: https://github.com/reiniscimurs/DRL-robot-navigation
Dstar-lite-pathplanner
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Can you please recommend me some resources on D* algorithm?
Have a look at my Python implementation. Used pygame for simulation. https://github.com/Sollimann/Dstar-lite-pathplanner
What are some alternatives?
rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x
AStar - High performance A* pathfinding in C#
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
Fast_RRT-ROS - RRT-ROS implementation.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
rospy - ROS communications-related packages, including core client libraries (roscpp, rospy, roslisp) and graph introspection tools (rostopic, rosnode, rosservice, rosparam).
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
PathPlanning - Common used path planning algorithms with animations.
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
python-graphslam - Graph SLAM solver in Python
webots_ros2 - Webots ROS 2 packages
Maze-PathFinder-Visualization-Python - 2D maze path solver visualizer implemented with python