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Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Env...
To overcome the sim-to-real gap in reinforcement learning (RL), learned policies must maintain robustness against environmental uncertainties. While robust RL has been widely... -
Towards the Scalable Evaluation of Cooperativeness in Language Models
The dataset is used to evaluate the cooperative tendencies of language models. It consists of scenarios with particular game-theoretic structures, generated through both... -
Complex Momentum for Optimization in Games
The dataset used in the paper is a complex-valued momentum for optimization in games.
