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Prosocial learning agents solve generalized Stag Hunts better than selfish ones

Deep reinforcement learning has become an important paradigm for constructing agents that can enter complex multi-agent situations and improve their policies through experience. One commonly used technique is reactive training - applying standard RL methods while treating other agents as a part of the learner's environment... (read more)

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