Paper: Agents Learn Their Runtime: Interpreter Persistence as Training-Time Semantics
200 procedurally generated Opaque Knapsack tasks, split into 100 Easy and 100 Hard instances. These are the shared evaluation problems solved by all models in the paper's experiments.
A partially observable constrained optimization problem. An agent is given a set of items identified only by opaque IDs and… See the full description on the dataset page:
https://huggingface.co/datasets/pythonformer/agents-learn-runtime-tasks.
