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Papers
Generating Adversarial Disturbances for Controller Verification
L4DC 2021
High-dimensional Experimental Design and Kernel Bandits
ICML 2021
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
ICLR 2021
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
NeurIPS 2021
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
ICML 2021
Local Differential Privacy for Regret Minimization in Reinforcement Learning
NeurIPS 2021
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
ACML 2021
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games
AAAI 2021
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
NeurIPS 2021
Near-Optimal MNL Bandits Under Risk Criteria
AAAI 2021
Near-Optimal No-Regret Learning in General Games
NeurIPS 2021
Online Boosting with Bandit Feedback
ALT 2021
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
ICML 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
ICML 2021
Optimizing Optimizers: Regret-optimal gradient descent algorithms
COLT 2021
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure
NeurIPS 2021
Policy Optimization as Online Learning with Mediator Feedback
AAAI 2021
Pure Exploration and Regret Minimization in Matching Bandits
ICML 2021
Refined approachability algorithms and application to regret minimization with global costs
JMLR 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
NeurIPS 2021
Regret Minimization in Heavy-Tailed Bandits
COLT 2021
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
ICML 2021
Regret-optimal measurement-feedback control
L4DC 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
NeurIPS 2021
RL for Latent MDPs: Regret Guarantees and a Lower Bound
NeurIPS 2021