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:
- Mujoco Models for the Fetch Robot☆32Updated 6 months ago
- Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)☆82Updated 2 years ago
- Q-network with cross-entropy (CE) method for reinforcement learning.☆55Updated 6 years ago
- myGym enables fast prototyping of RL in the area of robotic manipulation and navigation.You can train different robots, in several enviro…☆51Updated this week
- Residual policy learning☆69Updated 6 years ago
- Pybullet version of the multigoal robotics environment from OpenAI Gym☆95Updated 2 years ago
- Trajectory optimization algorithms for robotic control.☆110Updated 2 years ago
- [CoRL 2020] Learning a Decentralized Multiarm Motion Planner☆157Updated 4 years ago
- DDPGfD: This is our implementation project for the Reinforcement Learning course in NCTU.☆33Updated 3 years ago
- Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.☆36Updated 3 years ago
- UR5 sim in pybullet, with control via xyz and ori of the head, or individual motor control.☆17Updated 4 years ago
- An OpenAI Gym Env for Panda☆79Updated 5 years ago
- Reinforcement Learning Experiments using PyBullet☆131Updated 5 years ago
- Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators☆68Updated 4 years ago
- An OpenAI gym environment for the Kuka arm.☆47Updated 2 years ago
- ☆92Updated 2 years ago
- RL Reach is a platform for running reproducible reinforcement learning experiments.☆43Updated 2 weeks ago
- [ICRA2020] Learning policies for robotic manipulation☆52Updated last year
- Official implementation for the UOF paper (algorithm & environment)☆33Updated 2 years ago
- Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.☆30Updated 3 years ago
- ☆48Updated 4 years ago
- A collection of manipulation tasks with the fetch robot☆22Updated 3 years ago
- Custom Franka Panda environment in PyBullet☆22Updated 2 years ago
- This repository contains the code for GMR-based Gaussian process.☆23Updated 5 years ago
- Reinforcement learning algorithms for robot control tasks☆27Updated last year
- Benchmarking Repository for robosuite + SAC☆65Updated 3 years ago
- Reinforcement Learning in PyTorch☆28Updated 4 years ago
- A multi-subtask reinforcement learning method where complex tasks can be decomposed into low-level subtasks.☆36Updated 3 years ago
- Reinforcement learning environment with CoppeliaSim simulation platform.☆67Updated 4 years ago
- Deep reinforcement learning on NVIDIA Jetson tx2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.☆56Updated 7 years ago