ur_openai_gym
rex-gym
| ur_openai_gym | rex-gym | |
|---|---|---|
| 1 | 1 | |
| 15 | 957 | |
| - | - | |
| 2.5 | 0.0 | |
| 4 months ago | about 1 year ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ur_openai_gym
-
How to run Machine Learning (PyTorch, Tensorflow) with ROS Melodic/Python 2.7?
I've been able to work with tensorflow 2 and Ros melodic here https://github.com/cambel/ur_openai_gym I use dockers because it makes it easy to use. Compiling your custom packages with python3 and the rest mostly works fine. I had troubles with tf but I found a work around it. Though working with docket and Ros noetic would be a better idea.
rex-gym
-
By moving the battery pack forward, you can make the popular SpotMicro design balance much better. We had trouble getting it to do standing/walking because the center of mass was far to the back.
Our work was based on (SpotMicro)[https://github.com/michaelkubina/SpotMicroESP32] and (Rex Gym)[https://github.com/nicrusso7/rex-gym]. Our GitHub is (here)[https://github.com/LSaldyt/laser-dog]
What are some alternatives?
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
ur3 - ROS-based UR3/UR3e controller with simulation in Gazebo. Adaptable to other UR robots
robot-gym - RL applied to robotics.
Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
champ - MIT Cheetah I Implementation
PILCO - Bayesian Reinforcement Learning in Tensorflow
spot_mini_mini - Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
pyneat - NEAT: NeuroEvolution of Augmenting Topologies
gym-battleship - Battleship environment for reinforcement learning tasks