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Peter L. Bartlett — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Peter L. Bartlett
10
papers ·
650
citations ·
67
h-index
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Most-cited papers
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
2016 · 504 citations
Reinforcement Learning in POMDP's via Direct Gradient Ascent
2025 · 88 citations
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
2018 · 26 citations
Hebbian Synaptic Modifications in Spiking Neurons that Learn
2019 · 17 citations
Large-Scale Markov Decision Problems via the Linear Programming Dual
2019 · 7 citations
Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm
2021 · 4 citations
On the Theory of Reinforcement Learning with Once-per-Episode Feedback
2021 · 3 citations
Scale-free adaptive planning for deterministic dynamics & discounted rewards
2026
Top co-authors
Jonathan Baxter
· 2
Alan Malek
· 1
Aldo Pacchiano
· 1
Ashwin Pananjady
· 1
Bruno Scherrer
· 1
Dhruv Malik
· 1
Ilya Sutskever
· 1
Jennifer Healey
· 1
John Schulman
· 1
Koulik Khamaru
· 1
Kush Bhatia
· 1
Lin Chen
· 1
Topics
Model-Based RL
Value-Based
Policy Gradient
Offline RL
Meta-RL
Multi-Agent
Exploration