exploration-exploitation tradeoff

Provably efficient reinforcement learning with linear function approximation COLT 2020 Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach JMLR 2020 Stochastic Bandits with Delay-Dependent Payoffs AISTATS 2020 Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits COLT 2020 Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search ICLR 2020 AdaLinUCB: Opportunistic Learning for Contextual Bandits IJCAI 2019 Bayesian Policy Optimization for Model Uncertainty ICLR 2019 Conservative Exploration using Interleaving AISTATS 2019 Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019 Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NeurIPS 2019 Exploration Conscious Reinforcement Learning Revisited ICML 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Monte Carlo Tree Search for Policy Optimization IJCAI 2019 Open Problem: Risk of Ruin in Multiarmed Bandits COLT 2019 Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning RSS 2019 Thompson Sampling with Information Relaxation Penalties NeurIPS 2019 Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018 Adaptive Learning with Unknown Information Flows NeurIPS 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 NeurIPS 2017 Learning what to read: Focused machine reading EMNLP 2017 Trading off Rewards and Errors in Multi-Armed Bandits AISTATS 2017 Kernel Estimation and Model Combination in A Bandit Problem with Covariates JMLR 2016