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David Venuto — most-cited papers & profile · Reinforcement Learning
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David Venuto
7
papers ·
4
citations ·
2
h-index
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Most-cited papers
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions
2020 · 1 citations
Policy Gradients Incorporating the Future
2021 · 1 citations
Code as Reward: Empowering Reinforcement Learning with VLMs
2024 · 1 citations
Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning
2025
Avoidance Learning Using Observational Reinforcement Learning
2019
Top co-authors
Doina Precup
· 5
Ankit Anand
· 2
Jhelum Chakravorty
· 2
Junhao Wang
· 2
Leonard Boussioux
· 2
Elaine Lau
· 1
Flemming Kondrup
· 1
Gavin McCracken
· 1
Khimya Khetarpal
· 1
Lynn Cherif
· 1
Martin Klissarov
· 1
Ofir Nachum
· 1
Topics
Offline RL
Model-Based RL
Exploration
Safe RL
Meta-RL
Policy Gradient
RLHF & Alignment
Value-Based