Statistical Learning Theory
Compute the bound next to the quantity it bounds.
Compute the bound next to the quantity it bounds.
The classical half of sequential decision making, and the prerequisite for deep RL.
A bandit earns more reward and gives you a worse estimate of the effect.
A distribution over parameters costs a prior, a sampler, and two diagnostics that can both be wrong.