← Authors

Yasin Abbasi-Yadkori

22 papers · 2011–2023 · 7 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (13) 🀝 Dynamic Duo (10) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (6) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (101) πŸ’Ž Century Club (22)

Conferences

AISTATS (8) ICML (7) COLT (3) ALT (1) JMLR (1) NIPS (1) UAI (1)

Top co-authors

Csaba SzepesvΓ‘ri (10) Peter Bartlett (7) Nevena Lazic (7) Alan Malek (4) Dong Yin (3) Botao Hao (3) Mohammad Ghavamzadeh (2) Gellert Weisz (2) Anup Rao (2) Victor Gabillon (2)

Keywords

regret bound (10) markov decision process (7) policy iteration (5) multi-armed bandit (4) online learning (3) reinforcement learning (3) function approximation (2) stochastic bandit (2) confidence set (2) expert prediction (2) convex optimization (2) policy optimization (2) linear function approximation (2) policy learning (1) graph-based optimization (1) kl divergence (1) non-convex optimization (1) feature selection (1) optimal control (1) sparse learning (1)

Papers

A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits JMLR 2023
Efficient local planning with linear function approximation ALT 2022
Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022
Confident Least Square Value Iteration with Local Access to a Simulator AISTATS 2022
Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021
Adaptive Approximate Policy Iteration AISTATS 2021
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function COLT 2021
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction ICML 2019
On Densification for Minwise Hashing UAI 2019
Optimizing over a Restricted Policy Class in MDPs AISTATS 2019
Model-Free Linear Quadratic Control via Reduction to Expert Prediction AISTATS 2019
Sample Efficient Graph-Based Optimization with Noisy Observations AISTATS 2019
Best of both worlds: Stochastic & adversarial best-arm identification COLT 2018
Hit-and-Run for Sampling and Planning in Non-Convex Spaces AISTATS 2017
A Fast and Reliable Policy Improvement Algorithm AISTATS 2016
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015
Tracking Adversarial Targets ICML 2014
Linear Programming for Large-Scale Markov Decision Problems ICML 2014
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits AISTATS 2012
Regret Bounds for the Adaptive Control of Linear Quadratic Systems COLT 2011
Improved Algorithms for Linear Stochastic Bandits NIPS 2011