exploration exploitation

Generalized Data Distribution Iteration ICML 2022 Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction NeurIPS 2022 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem JMLR 2021 An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling AISTATS 2021 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 Bandit Quickest Changepoint Detection NeurIPS 2021 Corralling Stochastic Bandit Algorithms AISTATS 2021 Deciding What to Learn: A Rate-Distortion Approach ICML 2021 Improved POMDP Tree Search Planning with Prioritized Action Branching AAAI 2021 Adaptive Double-Exploration Tradeoff for Outlier Detection AAAI 2020 Exploration Analysis in Finite-Horizon Turn-based Stochastic Games UAI 2020 Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees ICLR 2020 Linear Bandits with Feature Feedback AAAI 2020 Multi-Player Bandits: The Adversarial Case JMLR 2020 Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory AAAI 2020 Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits NeurIPS 2020 Thompson Sampling Algorithms for Mean-Variance Bandits ICML 2020 Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits COLT 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 Curriculum-guided Hindsight Experience Replay NeurIPS 2019 Model Selection for Contextual Bandits NeurIPS 2019 Policy Optimization with Model-Based Explorations AAAI 2019 Reducing Exploration of Dying Arms in Mortal Bandits UAI 2019 Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis MLHC 2018 Differentially Private Contextual Linear Bandits NeurIPS 2018