The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving

By Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum. 2019

27 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sergey Levine
2. Yoshua Bengio
3. Trevor Darrell
4. Abhinav Kumar Gupta
5. Jitendra Malik
6. Ross B. Girshick
7. Quoc V. Le
8. Andrea Vedaldi

Citations in the corpus

• Emergent Tool Use From Multi-Agent Autocurricula (2019, methodology): “[56] uses a combination of human-designed priors and model-based policy optimization to solve a collection of physics-based puzzles requiring tool use.”
• Generalization to New Actions in Reinforcement Learning (2020, background): “Concurrently developed related environments (Allen et al., 2019; Bakhtin et al., 2019) focus on single-step physical reasoning with a few simple polygon tools.”
• PHYRE: A New Benchmark for Physical Reasoning (2019, methodology): “It was developed concurrently with the Tools game [1].”