drl_grasping
lodtree
| drl_grasping | lodtree | |
|---|---|---|
| 4 | 2 | |
| 326 | 16 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 11 months ago | |
| Python | Rust | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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drl_grasping
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Researchers at The University of Luxembourg Develop a Method to Learn Grasping Objects on the Moon from 3D Octree Observations with Deep Reinforcement Learning
Continue reading| Check out the paper,and github link
- ROS 2 + Ignition + OpenAI Gym Deep RL Example
- ROS 2 + Ignition + OpenAI Gym Tutorial
- Deep Reinforcement Learning for Robotic Grasping from Octrees
lodtree
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Making a borrowing mutable iterator
The entire code for this can be found here: https://github.com/Dimev/lodtree tree is under src/tree.rs, iterators under src/iter.rs
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lodtree - a simple crate to help with chunked level of detail
I've made lodtree which is a simple crate tp help with using quadtree, octrees and similar for chunked level of detail. This can come in handy if you are building terrain for a game.
What are some alternatives?
pytorch-blender - :sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelines
godot-lod - Level of detail (LOD) add-on for Godot 3.x (GLES3 and GLES2)
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
UnityOctree - A dynamic, loose octree implementation for Unity written in C#
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
quadtree-js - A lightweight quadtree implementation for javascript
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
GodotMono-InfiniteTerrain
gym-pybullet-drones - PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
voxel-planets - Generation of planets with dynamic terrain
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
quadim - High-performance Quadtree image compression/stylization, 100+FPS on modern computers and avoiding ugly non-squares 💢