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Exploration-Exploitation

155 papers

Papers per year

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Papers

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