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Yuda Song — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yuda Song
15
papers ·
17
citations ·
4
h-index
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Most-cited papers
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient
2022 · 7 citations
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
2021 · 5 citations
Provably Efficient Model-based Policy Adaptation
2020 · 3 citations
Provable Benefits of Representational Transfer in Reinforcement Learning
2022 · 2 citations
Expanding the Capabilities of Reinforcement Learning via Text Feedback
2026
Maximum Likelihood Reinforcement Learning
2026
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning
2025
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach
2022
Online No-regret Model-Based Meta RL for Personalized Navigation
2022
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
2023
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
2023
Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
2024
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
2024
Hybrid Reinforcement Learning from Offline Observation Alone
2024
Top co-authors
J. Andrew Bagnell
· 5
Wen Sun
· 4
Aarti Singh
· 2
Aarti Singh
· 2
Akshay Krishnamurthy
· 2
Alekh Agarwal
· 2
Andrea Zanette
· 2
Ayush Sekhari
· 2
Fahim Tajwar
· 2
Mengdi Wang
· 2
Xuezhou Zhang
· 2
Yifei Zhou
· 2
Topics
Model-Based RL
Policy Gradient
Exploration
Meta-RL
Offline RL
Value-Based
RLHF & Alignment
Safe RL
Game AI