Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory

Stefanos Leonardos
Stefanos Leonardos
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To make progress in this direction, we study a smooth analogue of Q-learning

Abstract:

Exploration-exploitation is a powerful and practical tool in multi-agent learning (MAL), however, its effects are far from understood. To make progress in this direction, we study a smooth analogue of Q-learning. We start by showing that our learning model has strong theoretical justification as an optimal model for studying exploration...More

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