Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
One of the grand challenges of reinforcement learning is the ability to generalize to new tasks. However, general agents require a set of rich, diverse tasks to train on. Designing a ‘foundation environment’ for such tasks is tricky – the ideal environment would support a range of emergent phenomena...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151635 |