Environment codebase for ICRA 2020 paper "Towards Practical Multi-object Manipulation using Relational Reinforcement Learning"

Codebase for ICRA 2020 paper "Towards Practical Multi-object Manipulation using Relational Reinforcement Learning"

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

The source code of paper " Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction"

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

Public version of the decentralized, attention-based mTSP code

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver

Python implementation of Multi-Robot Discrete RRT planner

multi agent path finding and pickup and delivery (combined task allocation and path finding). work going on precendence constrained task allocation and path finding (PC-TAPF)

Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*

CLIPort: What and Where Pathways for Robotic Manipulation

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learni…

Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21

[NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives

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

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Simultaneous task allocation and motion scheduling (STAAMS) solver based on constraint programming and optimization, implemented for the Robot Operating System (ROS)

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

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

[CoRL 2020] Learning a Decentralized Multiarm Motion Planner

ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge (ManiSkill Challenge), a physics-rich manipulation skill benchmark with large-scale demonstrati…

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms