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Name: qiaojun_yu
Type: User
Name: qiaojun_yu
Type: User
Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations" presented at CoRL 2019.
PyTorch implementations of deep reinforcement learning algorithms and environments
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
A generative world for general-purpose robotics & embodied AI learning.
[ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
Simple maze environments using mujoco-py
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
OpenaAI Gym Franka Emika Panda robot environment based on PyBullet.
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
Gym-Styled UR5 arm with Robotiq-85 / 140 gripper in Bullet simulator
PyTorch implementation of Soft Actor-Critic (SAC)
[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
[RA-L / ICRA 2022] UMPNet: Universal Manipulation Policy Network for Articulated Objects
Related papers and codes for vision-based robotic grasping
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