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Exploration-Exploitation

154 directly classified papers

Papers per year

Papers

Adaptive Learning with Unknown Information Flows NIPS 2018
Policy Regret in Repeated Games NIPS 2018
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NIPS 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem NIPS 2018
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NIPS 2018
Context-dependent upper-confidence bounds for directed exploration NIPS 2018
Factored Bandits NIPS 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data NIPS 2018
Bandit Learning with Positive Externalities NIPS 2018
Boltzmann Exploration Done Right NIPS 2017
A KL-LUCB algorithm for Large-Scale Crowdsourcing NIPS 2017
Action Centered Contextual Bandits NIPS 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing NIPS 2017
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning ACL 2017
Interactive Submodular Bandit NIPS 2017
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NIPS 2017
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs NIPS 2017
Multi-Task Learning for Contextual Bandits NIPS 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017
Regret Minimization in MDPs with Options without Prior Knowledge NIPS 2017
Optimistic Gittins Indices NIPS 2016
Adaptive Concentration Inequalities for Sequential Decision Problems NIPS 2016
The Multi-fidelity Multi-armed Bandit NIPS 2016
Improving PAC Exploration Using the Median Of Means NIPS 2016
The Pareto Regret Frontier for Bandits NIPS 2015