pytorch-blender
drl_grasping
pytorch-blender | drl_grasping | |
---|---|---|
1 | 4 | |
543 | 326 | |
- | - | |
5.9 | 0.0 | |
6 months ago | over 1 year ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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pytorch-blender
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Can we create a chatbot using blender? will it create poses based on conversational output from a bunch of code in real time?
Although I came across this: https://github.com/cheind/pytorch-blender
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
What are some alternatives?
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
rl-baselines-zoo - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Unity-Watson-STT-Assistant-TTS - Chatbot on Unity using IBM Watson speech-to-text, Assistant, and text-to-speech
gym-pybullet-drones - PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
skrl - Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
lodtree - A simple rust library to help create octrees and quadtrees for chunked level of detail