deep-reinforcement-learning-book / Chapter16-Robot-Learning-in-SimulationLinks
Chapter 16 Robot Learning in Simulation in book Deep Reinforcement Learning: example of Sawyer robot learning to reach the target with paralleled Soft Actor-Critic (SAC) algorithm, using PyRep for Sawyer robot simulation and game building. The environment is wrapped into OpenAI Gym format.
☆53Updated 4 years ago
Alternatives and similar repositories for Chapter16-Robot-Learning-in-Simulation
Users that are interested in Chapter16-Robot-Learning-in-Simulation are comparing it to the libraries listed below
Sorting:
- Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)☆90Updated 3 years ago
- Pybullet version of the multigoal robotics environment from OpenAI Gym☆94Updated 2 years ago
- Mujoco Models for the Fetch Robot☆32Updated 10 months ago
- myGym enables fast prototyping of RL in the area of robotic manipulation and navigation.You can train different robots, in several enviro…☆52Updated last week
- Q-network with cross-entropy (CE) method for reinforcement learning.☆56Updated 6 years ago
- DDPGfD: This is our implementation project for the Reinforcement Learning course in NCTU.☆35Updated 3 years ago
- Residual policy learning☆75Updated 6 years ago
- [CoRL 2020] Learning a Decentralized Multiarm Motion Planner☆160Updated 4 years ago
- Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.☆38Updated 3 years ago
- Trajectory optimization algorithms for robotic control.☆116Updated 3 years ago
- Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.☆30Updated 3 years ago
- [ICRA2020] Learning policies for robotic manipulation☆54Updated last year
- Model Predictive Actor-Critic Reinforcement Learning☆68Updated 4 years ago
- Official implementation for the UOF paper (algorithm & environment)☆33Updated 2 years ago
- RL Reach is a platform for running reproducible reinforcement learning experiments.☆43Updated 4 months ago
- Reinforcement Learning Experiments using PyBullet☆136Updated 5 years ago
- Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators☆71Updated 4 years ago
- An OpenAI Gym Env for Panda☆79Updated 5 years ago
- ☆91Updated 3 years ago
- Deep reinforcement learning on NVIDIA Jetson tx2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.☆57Updated 7 years ago
- Deep Reinforcement Learning applied to robotic arm☆57Updated 7 years ago
- A DRL implementation repo☆23Updated 7 months ago
- Custom Franka Panda environment in PyBullet☆22Updated 2 years ago
- ☆51Updated 4 years ago
- UR5 sim in pybullet, with control via xyz and ori of the head, or individual motor control.☆17Updated 5 years ago
- Franka panda mujoco models☆68Updated 10 months ago
- Verifiably Safe Deep Reinforcement Learning for Robotic Manipulationin Human Environments☆13Updated 3 years ago
- A collection of manipulation tasks with the fetch robot☆22Updated 4 years ago
- Reinforcement Learning in PyTorch☆29Updated 4 years ago
- A gym environment designed for free-floating space robot control based on the MuJoCo platform.☆110Updated 3 years ago