FYM1602's starred repositories
Awesome-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
awesome-isaac-gym
A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
DexterousHands
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
Isaac-ManipulaRL
Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from Demonstration Algorithm.
option-critic-pytorch
PyTorch implementation of the Option-Critic framework, Harb et al. 2016
h-baselines
A repository of high-performing hierarchical reinforcement learning models and algorithms.
OmniIsaacGymEnvs-UR10Reacher
UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
UR_Isaac-sim
The "UR_Isaac-sim" repository provides configurations and files to control a UR3e robot using Moveit2. It includes Isaac Sim simulation for testing.
drl_grasping
Deep Reinforcement Learning for Robotic Grasping from Octrees
IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
ur5_async_rl
Asynchronous Reinforcement Learning for UR5 Robotic Arm
robotic_arm_environment
Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning.
FEP_Active_Inference_Papers
A repository for major/influential FEP and active inference papers.
objectsdf_plus
:first_quarter_moon: [ICCV'23] Pytorch implementation of "ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces"
kuka-reach-drl
Train kuka robot reach a point with deep rl.
PredictiveCodingBackprop
Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
Universal_Robots_ROS2_Driver
Universal Robots ROS2 driver supporting CB3 and e-Series
Deep-Reinforcement-Learning
《深度强化学习:原理与实践》,Code of the book <Deep Reinforcement Learning: Principles and Practices>
ddpg_biped
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
bipedal-robot-walking-simulation
bipedal robot walking simulation using pybullet.