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

Context-lumpable stochastic bandits NIPS 2023
Communication-Constrained Bandits under Additive Gaussian Noise ICML 2023
Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023
Dynamical Linear Bandits ICML 2023
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023
Bandits with Knapsacks: Advice on Time-Varying Demands ICML 2023
Multiplier Bootstrap-based Exploration ICML 2023
Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023
Dueling RL: Reinforcement Learning with Trajectory Preferences AISTATS 2023
Bandit Online Linear Optimization with Hints and Queries ICML 2023
Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023
The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning ICML 2023
Anytime Model Selection in Linear Bandits NIPS 2023
Nash Regret Guarantees for Linear Bandits NIPS 2023
Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model ICML 2023
A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023
Efficient Online Clustering with Moving Costs NIPS 2023
Exploration in Reward Machines with Low Regret AISTATS 2023
Fast Online Node Labeling for Very Large Graphs ICML 2023
Online Convex Optimization with Unbounded Memory NIPS 2023
Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NIPS 2023
Lower Bounds for Learning in Revealing POMDPs ICML 2023
Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023
Failure-Aware Gaussian Process Optimization with Regret Bounds NIPS 2023