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Anima Anandkumar — most-cited papers & profile · Reinforcement Learning
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overview
Anima Anandkumar
56
papers ·
144
citations ·
57
h-index
California Institute of Technology
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Most-cited papers
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
2025
Stochastic Linear Bandits with Hidden Low Rank Structure
2019
Robust Regression for Safe Exploration in Control
2019
Learning Causal State Representations of Partially Observable Environments
2019
Triply Robust Off-Policy Evaluation
2019
Regret Minimization in Partially Observable Linear Quadratic Control
2020
Deep Bayesian Quadrature Policy Optimization
2020
Pre-Trained Language Models for Interactive Decision-Making
2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
2022
Thompson Sampling Achieves O() Regret in Linear Quadratic Control
2022
Langevin Monte Carlo for Contextual Bandits
2022
LeanAgent: Lifelong Learning for Formal Theorem Proving
2024
Top co-authors
Kamyar Azizzadenesheli
· 5
Babak Hassibi
· 3
Sahin Lale
· 3
Anqi Liu
· 2
Pan Xu
· 2
Yisong Yue
· 2
Abedelkadir Asi
· 1
Adarsh Kumarappan
· 1
Akella Ravi Tej
· 1
Amy Zhang
· 1
Antonio Torralba
· 1
Chaowei Xiao
· 1
Topics
cs.LG
Model-Based RL
Exploration
stat.ML
cs.CL
cs.AI
Policy Gradient
Uncategorized
Safe RL
Value-Based