A curated list of reinforcement learning with human feedback resources (continually updated)
Browse a collection of research papers on using human feedback to improve reinforcement learning models.
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awesome-RLHF has 4.4k stars on GitHub. It has been forked 259 times. It has been in active development since 2023. awesome-RLHF is available under the Apache-2.0 license. Its main topics are deep-learning, deep-reinforcement-learning, human-feedback, large-language-models.
A curated list of reinforcement learning with human feedback resources (continually updated)
awesome-RLHF is an open-source project. It is released under the Apache-2.0 license.
Yes. awesome-RLHF is free and open source — you can use, modify and self-host it.
awesome-RLHF is available under the Apache-2.0 license.
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