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

Logarithmic Regret for Reinforcement Learning with Linear Function Approximation ICML 2021
Towards tractable optimism in model-based reinforcement learning UAI 2021
Fully Gap-Dependent Bounds for Multinomial Logit Bandit AISTATS 2021
Combinatorial semi-bandit in the non-stationary environment UAI 2021
Stochastic Multi-Armed Bandits with Control Variates NIPS 2021
Communication efficient parallel reinforcement learning UAI 2021
CORe: Capitalizing On Rewards in Bandit Exploration UAI 2021
Learning in Multi-Player Stochastic Games UAI 2021
Multi-task and meta-learning with sparse linear bandits UAI 2021
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L4DC 2021
Near-Optimal MNL Bandits Under Risk Criteria AAAI 2021
Lifelong Learning with Branching Experts ACML 2021
Expert advice problem with noisy low rank loss ACML 2021
Fast Rate Learning in Stochastic First Price Bidding ACML 2021
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems NIPS 2021
Non-Stationary Off-Policy Optimization AISTATS 2021
Federated Multi-armed Bandits with Personalization AISTATS 2021
Significance of Gradient Information in Bayesian Optimization AISTATS 2021
The Pareto Frontier of model selection for general Contextual Bandits NIPS 2021
Online learning in MDPs with linear function approximation and bandit feedback. NIPS 2021
Scheduling jobs with stochastic holding costs NIPS 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge NIPS 2021
Stochastic Bandits with Linear Constraints AISTATS 2021
Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021