Learning and Intelligent Systems (Learning-and-Intelligent-Systems)

Learning-and-Intelligent-Systems

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Location:MIT CSAIL

Home Page:http://lis.csail.mit.edu/

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Learning and Intelligent Systems's repositories

predicators

Learning for effective and efficient bilevel planning

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kitchen-worlds

A library of long-horizon Task-and-Motion-Planning (TAMP) problems in kitchen and household scenes, as well as planners to solve them

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llm4pddl

Large language models for PDDL domains

open-world-tamp

A framework for integrated task and motion planning from perception

Analytical-Learning-Theory

97.39% on CIFAR10 with PyTorch

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lisdf

A repository for a universal I/O spec for TAMP, along with scripts to convert from popular specs to our spec

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stacking

Active Learning of Abstract Plan Feasibility

predicators_behavior

Learning for effective and efficient bilevel planning; integrated with BEHAVIOR and iGibson

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movo_ws

movo workspace

lis-spot-utils

A number of helpful utilities for doing cool things with the Boston Dynamics Spot Robot!

mit-ros-pkg

mit ros pkg upgraded to indigo

MOVO

kinova movo guide

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GLIB-AAAI-2021

Code for GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. AAAI 2021.

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lisdf-models

SDF/URDF models for the lisdf format

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urdf_parser_py

Standalone URDF parser for Python.

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iGibson

A Simulation Environment to train Robots in Large Realistic Interactive Scenes

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lis_pr2_pkg

lis_pr2_pkg

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AtlasNet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

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behavior

Code to evaluate a solution in the BEHAVIOR benchmark: starter code, baselines, submodules to iGibson and BDDL repos

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gym-sokoban

Sokoban environment for OpenAI Gym

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lis_pr2_pkg_experimental

Very experimental & less documented code that's not guaranteed to work!

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pddlstream

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

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predicators_behavior_legacy

Learning for effective and efficient bilevel planning; integrated with the iGibson simulator and BEHAVIOR benchmark!

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wiki

Public wiki for the Human-Centered Robotics Lab.

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