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Anima Anandkumar — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Anima Anandkumar
60
papers ·
755
citations ·
57
h-index
California Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
2020 · 50 citations
Eureka: Human-Level Reward Design via Coding Large Language Models
2023 · 48 citations
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
2021 · 14 citations
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
2020 · 6 citations
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
2023 · 5 citations
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems
2022 · 4 citations
Competitive Policy Optimization
2020 · 2 citations
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning
2021 · 2 citations
Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows
2025
Polymatrix Competitive Gradient Descent
2021
Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting
2020
Top co-authors
Kamyar Azizzadenesheli
· 7
Sahin Lale
· 5
Babak Hassibi
· 3
De-An Huang
· 2
Guanzhi Wang
· 2
Linxi Fan
· 2
Yuanyuan Shi
· 2
Yuke Zhu
· 2
Adam Wierman
· 1
Alexander Liniger
· 1
Alistair Letcher
· 1
A. Rupam Mahmood
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Game AI
Safe RL
Multi-Agent
Meta-RL
Value-Based
RLHF & Alignment