Yuda Song

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Temporal Difference

Reinforcement Learning

Online Convex Optimization

Top Venues

Publications

Yuda Song, J. Andrew Bagnell, Aarti Singh
Hybrid Reinforcement Learning from Offline Observation Alone. CoRR (2024)
Yuda Song, Lili Wu, Dylan J. Foster, Akshay Krishnamurthy
Rich-Observation Reinforcement Learning with Continuous Latent Dynamics. CoRR (2024)
Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees. ICLR (2024)
Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun
Understanding Preference Fine-Tuning Through the Lens of Coverage. CoRR (2024)
Anirudh Vemula, Yuda Song, Aarti Singh, J. Andrew Bagnell, Sanjiban Choudhury
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. CoRR (2023)
Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang
Representation Learning for Low-rank General-sum Markov Games. ICLR (2023)
Yuda Song, Yifei Zhou, Ayush Sekhari, Drew Bagnell, Akshay Krishnamurthy, Wen Sun
Hybrid RL: Using both offline and online data can make RL efficient. ICLR (2023)
Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. ICML (2023)
Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees. CoRR (2023)
Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang
Provable Benefits of Representational Transfer in Reinforcement Learning. COLT (2023)
Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach. ICML (2022)
Yuda Song, Yifei Zhou, Ayush Sekhari, J. Andrew Bagnell, Akshay Krishnamurthy, Wen Sun
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient. CoRR (2022)
Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design. ICLR (2022)
Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Chi Jin, Mengdi Wang
Representation Learning for General-sum Low-rank Markov Games. CoRR (2022)
Yuda Song, Ye Yuan, Wen Sun, Kris Kitani
Online No-regret Model-Based Meta RL for Personalized Navigation. L4DC (2022)
Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang
Provable Benefits of Representational Transfer in Reinforcement Learning. CoRR (2022)
Yuda Song, Ye Yuan, Wen Sun, Kris Kitani
Online No-regret Model-Based Meta RL for Personalized Navigation. CoRR (2022)