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MORAD-RNA
RNA inverse design, reinforcement learning, diffusion models
This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Reinforcement learning.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
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The released model of MORAD: Reinforcement Learning with Multi-Objective diffusion model, post-trained online for 390 updates with the six-objective MORAD reward. One shared policy designs nucleotide sequences for any target 3D backbone, with no per-target optimization. EternaFold, normalized ensemble defect (NED) with ViennaRNA. gRNAde at T = 0.1. Training this model from pretrained RIDE takes about 2 hours on 4 × RTX 3090 (bash scripts/trainmorad.sh).