Rubik's Cube

14 papers with code • 0 benchmarks • 0 datasets

Solving the Rubik's Cube is a pathfinding task on a massive implicit graph.

Most implemented papers

Solving the Rubik's Cube Without Human Knowledge

AashrayAnand/rubiks-cube-reinforcement-learning 18 May 2018

A generally intelligent agent must be able to teach itself how to solve problems in complex domains with minimal human supervision.

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

huawei-noah/CV-backbones 28 Oct 2020

To this end, we summarize a tiny formula for downsizing neural architectures through a series of smaller models derived from the EfficientNet-B0 with the FLOPs constraint.

A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups

mfinzi/equivariant-MLP 19 Apr 2021

Symmetries and equivariance are fundamental to the generalization of neural networks on domains such as images, graphs, and point clouds.

Solving Rubik's Cube with a Robot Hand

sabeaussan/ROS_Unity 16 Oct 2019

We demonstrate that models trained only in simulation can be used to solve a manipulation problem of unprecedented complexity on a real robot.

Color Recognition for Rubik's Cube Robot

eyeeco/Rubick-s-Cube-Dataset 11 Jan 2019

We finally design a Rubik's cube robot and construct a dataset to illustrate the efficiency and effectiveness of our online methods and to indicate the ineffectiveness of offline method by color drifting in our dataset.

ProjectionPathExplorer: Exploring Visual Patterns in Projected Decision-Making Paths

AIDude-eng/projection-path-explorer-page 20 Jan 2020

In problem-solving, a path towards solutions can be viewed as a sequence of decisions.

Self-Supervision is All You Need for Solving Rubik's Cube

kyo-takano/EfficientCube 6 Jun 2021

Existing combinatorial search methods are often complex and require some level of expertise.

Subgoal Search For Complex Reasoning Tasks

subgoal-search/subgoal-search NeurIPS 2021

In this paper, we implement kSubS using a transformer-based subgoal module coupled with the classical best-first search framework.

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time

WolfgangKonen/PapersWithCodeOthello 28 Apr 2022

Recently, the seminal algorithms AlphaGo and AlphaZero have started a new era in game learning and deep reinforcement learning.

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search

adaptivesubgoalsearch/adaptive_subs 1 Jun 2022

Complex reasoning problems contain states that vary in the computational cost required to determine a good action plan.