Co-occurring keywords · papers mentioning both
Papers
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
NeurIPS 2007
Progressive mixture rules are deviation suboptimal
NeurIPS 2007
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
NeurIPS 2007
The Price of Bandit Information for Online Optimization
NeurIPS 2007
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning
NeurIPS 2006
No-regret Algorithms for Online Convex Programs
NeurIPS 2006
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
NeurIPS 2006
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
JMLR 2004
Using Confidence Bounds for Exploitation-Exploration Trade-offs
JMLR 2002