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PHYRE: A New Benchmark for Physical Reasoning
Anton Bakhtin · Laurens van der Maaten · Justin Johnson · Laura Gustafson · Ross Girshick

Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #125

Understanding and reasoning about physics is an important ability of intelligent agents. We develop the PHYRE benchmark for physical reasoning that contains a set of simple classical mechanics puzzles in a 2D physical environment. The benchmark is designed to encourage the development of learning algorithms that are sample-efficient and generalize well across puzzles. We test several modern learning algorithms on PHYRE and find that these algorithms fall short in solving the puzzles efficiently. We expect that PHYRE will encourage the development of novel sample-efficient agents that learn efficient but useful models of physics. For code and to play PHYRE for yourself, please visit https://player.phyre.ai.

Author Information

Anton Bakhtin (Facebook AI Research)
Laurens van der Maaten (Facebook)
Justin Johnson (University of Michigan / FAIR)
Laura Gustafson (Facebook AI Research)
Ross Girshick (FAIR)

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