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Anusha Nagabandi — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Anusha Nagabandi
13
papers ·
289
citations ·
12
h-index
Google Scholar ↗
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Most-cited papers
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
2018 · 101 citations
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
2019 · 96 citations
Model-Based Reinforcement Learning via Latent-Space Collocation
2021 · 7 citations
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
2017 · 5 citations
MELD: Meta-Reinforcement Learning from Images via Latent State Models
2020 · 3 citations
TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
2026
Residual Off-Policy RL for Finetuning Behavior Cloning Policies
2025
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
2025
Top co-authors
Sergey Levine
· 6
Pieter Abbeel
· 3
Chelsea Finn
· 2
Ronald S. Fearing
· 2
Abhishek Gupta
· 1
Abhishek Gupta
· 1
Alex X. Lee
· 1
Andrew Wagenmaker
· 1
Chuning Zhu
· 1
Gregory Kahn
· 1
Guanya Shi
· 1
Ignasi Clavera
· 1
Topics
Model-Based RL
Value-Based
Exploration
Policy Gradient
Offline RL
Meta-RL
Safe RL