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

Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping ICML 2021
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021
UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021
Differentially Private Online Submodular Maximization AISTATS 2021
Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits NIPS 2021
Learning Equilibria in Matching Markets from Bandit Feedback NIPS 2021
Combinatorial Blocking Bandits with Stochastic Delays ICML 2021
Understanding Bandits with Graph Feedback NIPS 2021
Offline Contextual Bandits with Overparameterized Models ICML 2021
A Gang of Adversarial Bandits NIPS 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation ICML 2021
Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021
Dynamic Balancing for Model Selection in Bandits and RL ICML 2021
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021
Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021
Safe Reinforcement Learning with Linear Function Approximation ICML 2021
Bandit Phase Retrieval NIPS 2021
Thompson Sampling Algorithms for Cascading Bandits JMLR 2021
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits JMLR 2021
Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks JMLR 2021