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Multi-Agent Games Using Adaptive Feedback Control
The dataset used in this paper is a set of five game-theoretic tasks (Harmony Game, Hawk-Dove, Stag-Hunt, Prisoners Dilemma and Battle of the Exes) with seven different agent... -
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...
