| clvrai/awesome-rl-envs |
835 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
|
|
| roboticslibrary/rl |
782 |
|
0 |
0 |
over 2 years ago |
0 |
|
39 |
bsd-2-clause |
C++ |
| The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. |
| araffin/robotics-rl-srl |
455 |
|
0 |
0 |
about 5 years ago |
0 |
|
16 |
mit |
Python |
| S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics |
| ugurkanates/awesome-real-world-rl |
199 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
cc0-1.0 |
|
| Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more. |
| AcutronicRobotics/gym-gazebo2 |
193 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo |
| sichkar-valentyn/Reinforcement_Learning_in_Python |
115 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa |
| angelmtenor/RL-ROBOT |
78 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
other |
Python |
| Reinforcement Learning framework for Robotics |
| offworld-projects/offworld-gym |
45 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
gpl-3.0 |
Python |
| OffWorld Gym: Open-Access Physical Robotics Environment for Real-World Reinforcement Learning Benchmark and Research |
| iamrajee/roskinectic_src |
43 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
C++ |
| This ROS kinectic workspace src folder, which was created on Ubuntu 16.04. Here I worked on ROS1 projects like 2d & 3D SLAM, Motion Planning, SWARM of drone, RL based drone, Surveilling Robot etc. |
| amazon-archives/aws-robomaker-sample-application-objecttracker |
25 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
mit |
Python |
| Use AWS RoboMaker and demonstrate a simulation that can train a reinforcement learning model to make a TurtleBot WafflePi to follow a TurtleBot burger, and then Deploy via RoboMaker to the robot. |
