text2reward

xlang-ai

[ICLR 2024 Spotlight] Code for the paper "Text2Reward: Reward Shaping with Language Models for Reinforcement Learning"

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Jupyter Notebook Language

Cost to Build

$453.7K

Market Value

$1.17M

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Growth over time

1 data points · 2025-06-17 → 2025-06-17

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What is the xlang-ai/text2reward GitHub project? Description: "[ICLR 2024 Spotlight] Code for the paper "Text2Reward: Reward Shaping with Language Models for Reinforcement Learning"". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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