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Brandon Amos — most-cited papers & profile · Reinforcement Learning
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·
overview
Brandon Amos
14
papers ·
297
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Differentiable MPC for End-to-end Planning and Control
2018 · 146 citations
Generalized Inner Loop Meta-Learning
2019 · 88 citations
Objective Mismatch in Model-based Reinforcement Learning
2020 · 21 citations
On the model-based stochastic value gradient for continuous reinforcement learning
2020 · 16 citations
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
2021 · 15 citations
Scalable Online Planning via Reinforcement Learning Fine-Tuning
2021 · 5 citations
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
2022 · 1 citations
The Surprising Difficulty of Search in Model-Based Reinforcement Learning
2026
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
2024
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
2019
Top co-authors
Amy Zhang
· 3
Denis Yarats
· 3
Mikael Henaff
· 3
Aditya Grover
· 2
Qinqing Zheng
· 2
Roberto Calandra
· 2
Andrew Gordon Wilson
· 1
Arnaud Fickinger
· 1
Artem Molchanov
· 1
Byron Boots
· 1
Douwe Kiela
· 1
Edward Grefenstette
· 1
Topics
Model-Based RL
Value-Based
Exploration
Offline RL
Game AI
Meta-RL
RLHF & Alignment
Policy Gradient
Multi-Agent