Alvin-shao

Alvin-shao's Stars

• marcocognetti/FrankaEmikaPandaDynModel

  Dynamic model of the Franka Emika Panda robot

  Language:C++13441

• mahdieh-ahmadi/Franka_emika_panda

  This project simulate the panda robot and controll it

  Language:MATLAB1

• vincentmllr/deep-robot-grasping

  Teaching a Franka Emika Panda robot to grasp objects using deep reinforcement learning

  Language:C++211

• nwilliterate/franka-emika-panda-matlab-simulation

  MATLAB simulation of franka emika panda robot control using Runge-Kutta.

  Language:MATLAB167

• isgeles/DDPG_HER_Robot

  DDPG with Hindsight Experience Replay (HER) solving Openai gym Fetch robotic environment in Pytorch

  Language:Python141

• YangRui2015/Sparse-Reward-Algorithms

  Implement many Sparse Reward algorithms in Gym Fetch environment

  Language:Python7920

• Rohithram/Modular-RL-for-Policy-Stitching

  We use the Hindsight Experience Replay (HER) algorithm for learning various robotic manipulation tasks such as reaching and picking in this sparse reward setting. We have made use of the Jaco arm environment, a comprehensive, multi-joint framework. Our main contribution has been to convert this environment into a goal-based one in order that it will be compatible with HER.

  Language:Python1

• MartinBraquet/Robot-Learning-UT

  Simulation of a neural network model using Deep Deterministic Policy Gradient (DDPG) improved with Hindsight Experience Replay (HER) in the Fetch Reach and Pick and Place environments of Gym Open AI.

  Language:Python9

• ylkuo/ddpg

  PyTorch implementation of DDPG with Hindsight Experience Replay (HER)

  Language:Python102

• TianhongDai/hindsight-experience-replay

  This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

  Language:Python39375

• alirezakazemipour/DDPG-HER

  Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.

  Language:Python8518

• openai/maddpg

  Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python1.6k485