We address multi-agent best arm identification with privacy guarantees. In this setting,
agents collaborate by communicating to find the optimal arm. To avoid leaking sensitive data …

While learning in an unknown Markov Decision Process (MDP), an agent should trade off
exploration to discover new information about the MDP, and exploitation of the current …

The multi-armed bandit is a reinforcement learning model where a learning agent
repeatedly chooses an action (pull a bandit arm) and the environment responds with a …

We develop a novel homomorphic encryption-based approach to privacy preservation in a
dynamic personalized pricing setting. In each period, the firm offers a personalized price to …