Yuda Song

According to our database, Yuda Song authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees.

Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun

CoRR, 2023

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms.

Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury

Proceedings of the International Conference on Machine Learning, 2023

Representation Learning for Low-rank General-sum Markov Games.

Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hybrid RL: Using both offline and online data can make RL efficient.

Yuda Song, Yifei Zhou, Ayush Sekhari, Drew Bagnell, Akshay Krishnamurthy, Wen Sun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Provable Benefits of Representational Transfer in Reinforcement Learning.

Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Representation Learning for General-sum Low-rank Markov Games.

Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Chi Jin, Mengdi Wang

CoRR, 2022

Online No-regret Model-Based Meta RL for Personalized Navigation.

Yuda Song, Ye Yuan, Wen Sun, Kris Kitani

Proceedings of the Learning for Dynamics and Control Conference, 2022

Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach.

Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun

Proceedings of the International Conference on Machine Learning, 2022

Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design.

Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration.

Yuda Song, Wen Sun

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Provably Efficient Model-based Policy Adaptation.

Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao

Proceedings of the 37th International Conference on Machine Learning, 2020