conftrace_

upper confidence bound

197 papers

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Also known as

UCB

Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) online learning (1777) contextual bandit (381) bayesian optimization (624) gaussian process (1200) thompson sampling (237) reinforcement learning (4352) stochastic optimization (1060) ucb algorithm (44)

Papers

The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation ICML 2020
From Finite to Countable-Armed Bandits NIPS 2020
Latent Bandits Revisited NIPS 2020
Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020
Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization AISTATS 2020
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition NIPS 2020
Constrained Upper Confidence Reinforcement Learning L4DC 2020
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis NIPS 2020
Dynamic Assortment Optimization with Changing Contextual Information JMLR 2020
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems AISTATS 2020
Neural Contextual Bandits with UCB-based Exploration ICML 2020
Nonmyopic Gaussian Process Optimization with Macro-Actions AISTATS 2020
A single algorithm for both restless and rested rotting bandits AISTATS 2020
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack AAAI 2020
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss NIPS 2020
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles IJCAI 2020
Bayesian Optimization using Pseudo-Points IJCAI 2020
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism ICML 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020
Stochastic bandits with arm-dependent delays ICML 2020
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option AISTATS 2020
Feedback graph regret bounds for Thompson Sampling and UCB ALT 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020