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PHYRE

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About

PHYRE is a benchmark for physical reasoning that contains a set of simple classical mechanics puzzles in a 2D environment. The benchmark is designed to encourage development of sample-efficient learning algorithms that generalize well across puzzles. PHYRE provides a set of physics puzzles in a simulated 2D world. Each puzzle has a goal state (e.g., make the green ball touch the blue ball) and an initial state in which the goal is not satisfied; A puzzle can be solved by placing one or more new bodies in the environment such that when the physical simulation is run the goal is satisfied.

Platform
Web
Keywords
machine learningairoboticsbenchmarkphysical reasoning
Task
physics reasoning

Features

benchmark for physical reasoning

within-template and cross-template generalization evaluation

task templates with varying parameters

generalizes well across puzzles

designed for sample-efficient learning algorithms

set of simple classical mechanics puzzles in a 2d environment

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