Mohammad Ghavamzadeh

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RESEARCH INTERESTS
Machine Learning, Artificial Intelligence,
Reinforcement Learning, Online Learning,
Recommendation Systems, Control

Papers128 papers

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Control-Aware Representations for Model-based Reinforcement Learning

Brandon Cui,Yinlam Chow,Mohammad Ghavamzadeh

ICLR 2021, (2021)

Bibtex

Improved Algorithms for Conservative Exploration in Bandits

Evrard Garcelon,Mohammad Ghavamzadeh,Alessandro Lazaric,Matteo Pirotta

national conference on artificial intelligence, (2020)

Cited by3Bibtex

Soft-Robust Algorithms for Handling Model Misspecification

Elita A. Lobo,Mohammad Ghavamzadeh,Marek Petrik

Bibtex

Multi-Step Greedy Reinforcement Learning Algorithms

Manan Tomar, Yonathan Efroni,Mohammad Ghavamzadeh

ICML, pp.9504-9513, (2020)

EIBibtex

Deep Bayesian Quadrature Policy Optimization

Akella Ravi Tej,Kamyar Azizzadenesheli,Mohammad Ghavamzadeh,Anima Anandkumar,Yisong Yue

Bibtex

Randomized Exploration in Generalized Linear Bandits

Branislav Kveton,Manzil Zaheer,Csaba Szepesvári,Lihong Li,Mohammad Ghavamzadeh,Craig Boutilier

AISTATS, pp.2066-2076, (2020)

Cited by9EIBibtex

Finite-Sample Analysis of GTD Algorithms

Bo Liu,Ji Liu,Mohammad Ghavamzadeh,Sridhar Mahadevan,Marek Petrik

(2020)

Bibtex

Conservative Exploration in Reinforcement Learning

Garcelon Evrard,Ghavamzadeh Mohammad,Lazaric Alessandro,Pirotta Matteo

AISTATS, pp.1431-1441, (2020)

Cited by2EIBibtex

Online Planning with Lookahead Policies

Yonathan Efroni,Mohammad Ghavamzadeh,Shie Mannor

NIPS 2020, (2020)

EIBibtex

Predictive Coding for Locally-Linear Control

Shu Rui, Nguyen Tung,Chow Yinlam, Pham Tuan, Than Khoat,Ghavamzadeh Mohammad,Ermon Stefano,Bui Hung H.

ICML, pp.8862-8871, (2020)

Cited by1EIBibtex

Active Model Estimation in Markov Decision Processes

Tarbouriech Jean, Shekhar Shubhanshu,Pirotta Matteo,Ghavamzadeh Mohammad,Lazaric Alessandro

UAI, pp.1019-1028, (2020)

Cited by2EIBibtex

Non-Stationary Latent Bandits

Joey Hong,Branislav Kveton,Manzil Zaheer,Yinlam Chow,Amr Ahmed,Mohammad Ghavamzadeh,Craig Boutilier

Bibtex

Optimizing over a Restricted Policy Class in MDPs

Ershad Banijamali,Yasin Abbasi-Yadkori,Mohammad Ghavamzadeh,Nikos Vlassis

international conference on artificial intelligence and statistics, (2019)

Cited by2EIBibtex

Active Learning for Binary Classification with Abstention

Shubhanshu Shekhar,Mohammad Ghavamzadeh,Tara Javidi

arXiv: Learning, (2019)

Cited by2EIBibtex

Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies

Yonathan Efroni, Nadav Merlis,Mohammad Ghavamzadeh,Shie Mannor

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 12203-12213

Cited by11EIBibtex

Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits

Kveton Branislav,Szepesvari Csaba,Vaswani Sharan,Wen Zheng,Ghavamzadeh Mohammad,Lattimore Tor

Cited by13Bibtex

Lyapunov-based Safe Policy Optimization for Continuous Control

Yinlam Chow,Ofir Nachum,Aleksandra Faust,Mohammad Ghavamzadeh, Edgar A. Duéñez-Guzmán

arXiv: Learning, (2019)

EIBibtex

Perturbed-History Exploration in Stochastic Linear Bandits

Branislav Kveton,Csaba Szepesvári,Mohammad Ghavamzadeh,Craig Boutilier

UAI, (2019): 176

Cited by10EIBibtex

Adaptive Sampling for Estimating Multiple Probability Distributions

Shekhar Shubhanshu,Ghavamzadeh Mohammad, Javidi Tara

Bibtex

Randomized Exploration in Generalized Linear Bandits

Branislav Kveton,Manzil Zaheer, Csaba Szepesvári,Lihong Li,Mohammad Ghavamzadeh,Craig Boutilier

CoRR, (2019)

Cited by9EIBibtex

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Papers128 papers

Mohammad Ghavamzadeh