qiaojunyu Goto Github PK

corl2019-drex

Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations" presented at CoRL 2019.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-rl-grasping

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

gamma-icra2024

genesis

A generative world for general-purpose robotics & embodied AI learning.

imitation-learning-from-imperfect-demonstration

[ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"

irl

mujoco-maze

Simple maze environments using mujoco-py

mujoco_rl_ur5

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.

omnihang

panda-gym

OpenaAI Gym Franka Emika Panda robot environment based on PyBullet.

pddlstream

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

pybullet_task

pybullet_ur5_robotiq

Gym-Styled UR5 arm with Robotiq-85 / 140 gripper in Bullet simulator

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

qiaojunyu.github.io

r-learning

rapid

[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

rl_basic

robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

skew-explore

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

umpnet

[RA-L / ICRA 2022] UMPNet: Universal Manipulation Policy Network for Articulated Objects

vision-based-robotic-grasping

Related papers and codes for vision-based robotic grasping