Exploration-Exploitation

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning ACL 2017 Boltzmann Exploration Done Right NeurIPS 2017 Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017 Interactive Submodular Bandit NeurIPS 2017 Multi-Task Learning for Contextual Bandits NeurIPS 2017 Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs NeurIPS 2017 Regret Minimization in MDPs with Options without Prior Knowledge NeurIPS 2017 Scalable Generalized Linear Bandits: Online Computation and Hashing NeurIPS 2017 Adaptive Concentration Inequalities for Sequential Decision Problems NeurIPS 2016 Improving PAC Exploration Using the Median Of Means NeurIPS 2016 Optimistic Gittins Indices NeurIPS 2016 Regret of Queueing Bandits NeurIPS 2016 The Multi-fidelity Multi-armed Bandit NeurIPS 2016 Cornering Stationary and Restless Mixing Bandits with Remix-UCB NeurIPS 2015 Explore no more: Improved high-probability regret bounds for non-stochastic bandits NeurIPS 2015 Linear Multi-Resource Allocation with Semi-Bandit Feedback NeurIPS 2015 Online Learning with Gaussian Payoffs and Side Observations NeurIPS 2015 On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NeurIPS 2015 The Pareto Regret Frontier for Bandits NeurIPS 2015 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Best-Arm Identification in Linear Bandits NeurIPS 2014 Combinatorial Pure Exploration of Multi-Armed Bandits NeurIPS 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Extreme bandits NeurIPS 2014 Learning to Optimize via Information-Directed Sampling NeurIPS 2014