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Found 4 papers, 1 papers with code
Rationality Report Cards: Assessing the Economic Rationality of Large Language Models
We begin by surveying the economic literature on rational decision making, taxonomizing a large set of fine-grained "elements" that an agent should exhibit, along with dependencies between them.
UNSAT Solver Synthesis via Monte Carlo Forest Search
We introduce Monte Carlo Forest Search (MCFS), a class of reinforcement learning (RL) algorithms for learning policies in {tree MDPs}, for which policy execution involves traversing an exponential-sized tree.
The Perils of Learning Before Optimizing
Typically, learning the prediction model used to generate the optimization problem and solving that problem are performed in two separate stages.
Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver
To see where this might be true in downtown Vancouver, we used artificial intelligence techniques to estimate the amount of time it would take drivers to both park on and off street for destinations throughout the city.
