method
active
method:adamw-optimizerAdamW Optimizer
Used to optimize the world model and self-prior
Neighborhood — ranked by edge-count
Methods (1)
method
- Adam Optimizerrelated_toUsed to optimize the policy and value networks
Related by similarity (4)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- A learned optimizer running inside a base optimizer; transformers proposed as mesa-optimizers implementing gradient descent in-context
- Extension of ZX-calculus with W nodes, enhancing expressive power
- Post-training alignment method during which undesirable behaviors emerged in the studied model.
- Comprehensive AI safety benchmark evaluating resistance to harmful prompts across hazard categories; used in Experiment 1