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Found 4 papers, 1 papers with code
Welfare Diplomacy: Benchmarking Language Model Cooperation
The growing capabilities and increasingly widespread deployment of AI systems necessitate robust benchmarks for measuring their cooperative capabilities.
Who Needs to Know? Minimal Knowledge for Optimal Coordination
We apply this algorithm to analyze the strategically relevant information for tasks in both a standard and a partially observable version of the Overcooked environment.
No-Regret Learning in Dynamic Stackelberg Games
The regret of the proposed learning algorithm is independent of the size of the state space and polynomial in the rest of the parameters of the game.
Constrained Active Classification Using Partially Observable Markov Decision Processes
The proposed framework relies on assigning a classification belief (a probability distribution) to the attributes of interest.
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