Search Results for author:
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.
Towards the Scalable Evaluation of Cooperativeness in Language Models
Since desired behaviour in an interaction depends upon precise game-theoretic structure, we focus on generating scenarios with particular structures with both crowdworkers and a language model.
Normative Disagreement as a Challenge for Cooperative AI
However, the mixed-motive environments typically studied have a single cooperative outcome on which all agents can agree.
Parameterized Exploration
We introduce Parameterized Exploration (PE), a simple family of methods for model-based tuning of the exploration schedule in sequential decision problems.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
