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Ted Moskovitz — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ted Moskovitz
9
papers ·
21
citations ·
4
h-index
Google DeepMind (United Kingdom) · Google (United Kingdom) · Oxford Centre for Computational Neuroscience · University College London
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Most-cited papers
Tactical Optimism and Pessimism for Deep Reinforcement Learning
2021 · 11 citations
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
2023 · 5 citations
A First-Occupancy Representation for Reinforcement Learning
2021 · 2 citations
Efficient Wasserstein Natural Gradients for Reinforcement Learning
2020 · 1 citations
A State Representation for Diminishing Rewards
2023 · 1 citations
Confronting Reward Model Overoptimization with Constrained RLHF
2023 · 1 citations
Towards an Understanding of Default Policies in Multitask Policy Optimization
2021
Minimum Description Length Control
2022
Transfer RL via the Undo Maps Formalism
2022
Top co-authors
Aldo Pacchiano
· 3
Maneesh Sahani
· 3
Michael Arbel
· 3
Jack Parker-Holder
· 2
Aaditya K. Singh
· 1
Abhi Gupta
· 1
Ahmed Touati
· 1
Anca D. Dragan
· 1
Arthur Gretton
· 1
Brendan O'Donoghue
· 1
David Alvarez-Melis
· 1
Diana Borsa
· 1
Topics
Policy Gradient
Safe RL
Meta-RL
Value-Based
Exploration
Model-Based RL
Offline RL
RLHF & Alignment