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. It is designed to encourage the development of sample-efficient learning algorithms that generalize well across puzzles. In PHYRE, puzzles involve an initial state and a goal state, where the goal is typically for a green object to touch a blue or purple object. Agents solve puzzles by placing red objects in the scene to achieve the goal. The benchmark provides task templates, which define sets of related tasks by varying parameters. These templates are used to measure an agent’s generalization ability in within-template and cross-template settings. It's an open-source project from Facebook Research.
Platform
Features
• benchmark for physical reasoning
• api available
• open-source project
• supports within-template and cross-template generalization measurement
• provides task templates for varied tasks
• encourages generalization across puzzles
• designed to encourage sample-efficient learning algorithms
• contains simple classical mechanics puzzles in a 2d environment
Pricing Plans
Free
Free Plan• Access to the PHYRE benchmark
• Set of 2D classical mechanics puzzles
• Tools for evaluating physical reasoning agents
• Open-source codebase
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