Linear Stochastic Bandits Under Safety Constraints. - Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (NeurIPS, 2019)

Safe Linear Thompson Sampling. - Ahmadreza Moradipari; Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (CoRR, 2019)

Generalized Linear Bandits with Safety Constraints. - Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (ICASSP, 2020)

Regret Bound for Safe Gaussian Process Bandit Optimization. - Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (L4DC, 2020)

Decentralized Multi-Agent Linear Bandits with Safety Constraints. - Sanae Amani; Christos Thrampoulidis (AAAI, 2021)

Safe Linear Bandits. - Ahmadreza Moradipari; Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (CISS, 2021)

Safe Reinforcement Learning with Linear Function Approximation. - Sanae Amani; Christos Thrampoulidis; Lin Yang 011 (ICML, 2021)

Regret Bounds for Safe Gaussian Process Bandit Optimization. - Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (ISIT, 2021)

UCB-based Algorithms for Multinomial Logistic Regression Bandits. - Sanae Amani; Christos Thrampoulidis (NeurIPS, 2021)

Safe Linear Thompson Sampling With Side Information. - Ahmadreza Moradipari; Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (IEEE Trans. Signal Process., 2021)

Doubly Pessimistic Algorithms for Strictly Safe Off-Policy Optimization. - Sanae Amani; Lin F. Yang (CISS, 2022)

Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation. - Sanae Amani; Lin F. Yang; Ching-An Cheng (CoRR, 2022)

Provably Efficient Lifelong Reinforcement Learning with Linear Representation. - Sanae Amani; Lin Yang 011; Ching-An Cheng (ICLR, 2023)

Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost. - Sanae Amani; Tor Lattimore; András György 001; Lin Yang 011 (ICML, 2023)

Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing. - Sanae Amani; Khushbu Pahwa; Vladimir Braverman; Lin F. Yang (CoRR, 2023)

Learning in Safety-critical, Lifelong, and Multi-agent Systems: Bandits and RL Approaches - Sanae Amani (2023)

Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning. - Yiran Wang; Chenshu Liu; Yunfan Li; Sanae Amani; Bolei Zhou; Lin F. Yang (CoRR, 2024)