Independent publisher

Gabriel Tang

Gabriel166

Models in Library1

Datasets in Library0

Models on Hugging Face—

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Published tasks: Reinforcement learning.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

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Models

Model · Reinforcement learning

MORAD

Gabriel Tang

Checkpoint for MORAD: Reinforcement Learning with Multi-Objective Rewards for model after 390 updates of online reinforcement learning with the six-component MORAD reward. A single shared policy designs nucleotide sequences for any target 3D backbone, with no per-target optimization. SHA-256 checksums are listed in SHA256SUMS. Structural and pairing metrics use candidate 0 of each target (structures predicted with RhoFold+, pairs with EternaFold); NED is from the thermodynamic evaluation (ViennaRNA). All tables of the paper are in the downloadassets.sh stores this file as artifacts/models/morad/moradupdate390.pt. Any MORAD checkpoint can be evaluated with RIDECHECKPOINT=path/to/policy.pt…

Open weights apache-2.0 pytorch

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