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exploration-exploitation tradeoff

55 papers

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Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) reinforcement learning (4352) online learning (1777) upper confidence bound (197) contextual bandit (381) exploration exploitation (76) thompson sampling (237) deep reinforcement learning (903) gaussian process (1200)

Papers

Conservative Exploration in Reinforcement Learning AISTATS 2020
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems AISTATS 2020
Stochastic Bandits with Delay-Dependent Payoffs AISTATS 2020
Fiduciary Bandits ICML 2020
Provably efficient reinforcement learning with linear function approximation COLT 2020
Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach JMLR 2020
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019
Exploration Conscious Reinforcement Learning Revisited ICML 2019
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning RSS 2019
Conservative Exploration using Interleaving AISTATS 2019
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018
Incentivizing Exploration by Heterogeneous Users COLT 2018
The Uncertainty Bellman Equation and Exploration ICML 2018
Boltzmann Exploration Done Right NIPS 2017
Learning what to read: Focused machine reading EMNLP 2017
Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016
Kernel Estimation and Model Combination in A Bandit Problem with Covariates JMLR 2016
Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization JMLR 2014
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
A Gang of Bandits NIPS 2013
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Stochastic Bandit Based on Empirical Moments AISTATS 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012