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Remove dead email and add NJK email in README
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with Rohan's blessing
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tomsilver authored Nov 21, 2023
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## Repository Description

This codebase implements a framework for *bilevel planning with learned neuro-symbolic relational abstractions*, as described in [this paper](https://arxiv.org/abs/2203.09634). Several features are concurrently under active development. **Please contact <[email protected]> and <ronuchit@mit.edu> before attempting to use it for your own research.** In particular, this codebase aims to ultimately provide an integrated system for learning the ingredients of search-then-sample bilevel planning with learned abstractions. That includes: options, predicates, operators, and samplers.
This codebase implements a framework for *bilevel planning with learned neuro-symbolic relational abstractions*, as described in [this paper](https://arxiv.org/abs/2203.09634). Several features are concurrently under active development. **Please contact <[email protected]> or <njk@mit.edu> before attempting to use it for your own research.** In particular, this codebase aims to ultimately provide an integrated system for learning the ingredients of search-then-sample bilevel planning with learned abstractions. That includes: options, predicates, operators, and samplers.

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