conftrace_

regret bound

1926 papers

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Also known as

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

Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound WACV 2020
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards ICML 2020
Budgeted Online Influence Maximization ICML 2020
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization AAAI 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020
Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting AAAI 2020
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits AAAI 2020
Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems AAAI 2020
Stochastic Bandits with Delay-Dependent Payoffs AISTATS 2020
Statistical Guarantees of Distributed Nearest Neighbor Classification NIPS 2020
Finite Continuum-Armed Bandits NIPS 2020
Sequential Bayesian Experimental Design with Variable Cost Structure NIPS 2020
Delay and Cooperation in Nonstochastic Linear Bandits NIPS 2020
Stochastic bandits with arm-dependent delays ICML 2020
Preselection Bandits ICML 2020
Neural Contextual Bandits with UCB-based Exploration ICML 2020
Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020
Optimistic Policy Optimization with Bandit Feedback ICML 2020
Near-optimal Regret Bounds for Stochastic Shortest Path ICML 2020
Learning with Good Feature Representations in Bandits and in RL with a Generative Model ICML 2020
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition ICML 2020
Provably Efficient Exploration in Policy Optimization ICML 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020