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Animashree Anandkumar — most-cited papers & profile · AI for Code
← authors
·
overview
Animashree Anandkumar
17
papers ·
650
citations ·
35
h-index
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Most-cited papers
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
2020 · 25 citations
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
2020 · 25 citations
Surprising Negative Results for Generative Adversarial Tree Search
2018 · 14 citations
Reinforcement Learning in Rich-Observation MDPs using Spectral Methods
2016 · 12 citations
Policy Gradient in Partially Observable Environments: Approximation and Convergence
2018 · 10 citations
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
2021 · 8 citations
Reinforcement Learning of POMDPs using Spectral Methods
2016 · 7 citations
OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy
2021 · 7 citations
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
2021 · 6 citations
Experimental results : Reinforcement Learning of POMDPs using Spectral Methods
2017 · 4 citations
Fast Uncertainty Quantification for Deep Object Pose Estimation
2020 · 2 citations
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
2020 · 2 citations
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
2021 · 2 citations
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features
2020
Neural Scene Representation for Locomotion on Structured Terrain
2022
Topics
Model-Based RL
Multi-Agent
Game AI
Value-Based
Policy Gradient
Chemistry
Drug Discovery
Control
Locomotion
Perception