| lgsvl/simulator |
2,029 |
|
0 |
0 |
about 3 years ago |
0 |
|
625 |
other |
C# |
| A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles |
| ahundt/awesome-robotics |
817 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
|
|
| A curated list of awesome links and software libraries that are useful for robots. |
| StanfordVL/GibsonEnv |
814 |
|
0 |
0 |
about 2 years ago |
0 |
|
48 |
mit |
C |
| Gibson Environments: Real-World Perception for Embodied Agents |
| OpenQuadruped/spot_mini_mini |
740 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
C++ |
| Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion. |
| erlerobot/gym-gazebo |
673 |
|
0 |
0 |
about 7 years ago |
0 |
|
|
other |
Python |
| Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version |
| reiniscimurs/DRL-robot-navigation |
214 |
|
0 |
0 |
over 2 years ago |
0 |
|
16 |
mit |
Python |
| Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles. |
| AndrejOrsula/drl_grasping |
196 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
bsd-3-clause |
Python |
| Deep Reinforcement Learning for Robotic Grasping from Octrees |
| 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 |
| udacity/RL-Quadcopter |
130 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| Teach a Quadcopter How to Fly! |
| jangirrishabh/Overcoming-exploration-from-demos |
117 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
mit |
Python |
| Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI |
