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cs.LG2026
Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning
Harin Lee, Min-hwan Oh
We study the distribution of regret in stochastic multi-armed bandits and episodic reinforcement learning through a unified framework. We formalize a distributional regret bound as…
cs.LG2026
Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
Harin Lee, Kevin Jamieson
We study reinforcement learning with delayed state observation, where the agent observes the current state after some random number of time steps. We propose an algorithm that comb…