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Found 2 papers, 1 papers with code
Co-Learning Empirical Games and World Models
We investigate the potential gain from co-learning these elements: a world model for dynamics and an empirical game for strategic interactions.
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning
Progress in fields of machine learning and adversarial planning has benefited significantly from benchmark domains, from checkers and the classic UCI data sets to Go and Diplomacy.
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