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
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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