conftrace_

regret bound

1926 papers

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RB

Co-occurring keywords

online learning (1777) multi-armed bandit (1098) contextual bandit (381) stochastic optimization (1060) reinforcement learning (4352) online algorithm (445) upper confidence bound (197) markov decision process (790) thompson sampling (237) online convex optimization (165)

Papers

A Simple Unified Framework for High Dimensional Bandit Problems ICML 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor NIPS 2022
CVaR-Regret Bounds for Multi-armed Bandits ACML 2022
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022
Thompson Sampling with a Mixture Prior AISTATS 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022
Product Ranking for Revenue Maximization with Multiple Purchases NIPS 2022
Online Learning for Unknown Partially Observable MDPs AISTATS 2022
Gap-Dependent Bounds for Two-Player Markov Games AISTATS 2022
Maillard Sampling: Boltzmann Exploration Done Optimally AISTATS 2022
Learning Adversarial Markov Decision Processes with Delayed Feedback AAAI 2022
Can Q-learning be Improved with Advice? COLT 2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach AAAI 2022
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams AAAI 2022
Corruption-Robust Contextual Search through Density Updates COLT 2022
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Efficient Kernelized UCB for Contextual Bandits AISTATS 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NIPS 2022
Bayesian Optimization under Stochastic Delayed Feedback ICML 2022
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms ICML 2022
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback NIPS 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NIPS 2022