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Exploration-Exploitation

154 directly classified papers

Papers per year

Papers

Explore no more: Improved high-probability regret bounds for non-stochastic bandits NIPS 2015
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NIPS 2015
Online Learning with Gaussian Payoffs and Side Observations NIPS 2015
Linear Multi-Resource Allocation with Semi-Bandit Feedback NIPS 2015
Learning to Optimize via Information-Directed Sampling NIPS 2014
Best-Arm Identification in Linear Bandits NIPS 2014
Discovering, Learning and Exploiting Relevance NIPS 2014
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards NIPS 2014
Optimal Neural Codes for Control and Estimation NIPS 2014
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Repeated Contextual Auctions with Strategic Buyers NIPS 2014
The Blinded Bandit: Learning with Adaptive Feedback NIPS 2014
A Gang of Bandits NIPS 2013
(More) Efficient Reinforcement Learning via Posterior Sampling NIPS 2013
Prior-free and prior-dependent regret bounds for Thompson Sampling NIPS 2013
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NIPS 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012
Hierarchical Optimistic Region Selection driven by Curiosity NIPS 2012
Predicting Dynamic Difficulty NIPS 2011
Budgeted Optimization with Concurrent Stochastic-Duration Experiments NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011
Learning from Logged Implicit Exploration Data NIPS 2010
Random Walk Approach to Regret Minimization NIPS 2010
Parametric Bandits: The Generalized Linear Case NIPS 2010