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Nicholas E. Corrado — most-cited papers & profile · Reinforcement Learning
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Nicholas E. Corrado
5
papers ·
7
citations ·
2
h-index
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Most-cited papers
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
2023 · 4 citations
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling
2023 · 2 citations
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates
2023 · 1 citations
Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling
2026
Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies
2025
Top co-authors
Josiah P. Hanna
· 4
Adam Labiosa
· 1
John U. Balis
· 1
Josiah P. Hanna
· 1
Wenyuan Huang
· 1
Yuxiao Qu
· 1
Topics
Model-Based RL
Exploration
Multi-Agent
Policy Gradient
Meta-RL
Offline RL