[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
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Updated
Sep 6, 2024 - Python
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Enabling Faster Training of Robust Reinforcement Learning Policies for Soft Robots
State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping
Code for paper on ICRA 2022 workshop on Deformable Object Manipulation. In this work we learn keypoints from synthetic data for robotic cloth folding.
[RSS 2024]: Expressive Whole-Body Control for Humanoid Robots
Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
Sim-to-real RL training and deployment tools for the Unitree Go1 robot.
reinforcement learning from randomized simulations
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
Simulation environments for the CrazyFlie quadrotor: Used for Reinforcement Learning and Sim-to-Real Transfer
Hiwin Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
Kuka Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Robotics" and it contains examples of some well-known algorithms and methods in the fields of Reinforcement Learning and Sim-to-Real transfer. The implementation is not thought to be efficient, thus we suggest yo…
Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.
Implementation of Reinforcement Learning Based Autonmous Control of a TurtleBot2 as a substitute for a Formula SAE Car
[CVPR'22] CrossLoc localization: a cross-modal visual representation learning method for absolute localization
This repository contains the source code of our paper: Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer.
Implementation of hybrid and monolithic DDPG controllers for obstacle avoidance and reaching task of Panda robot
Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving
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