Shengyi Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Partially Observable Environments

Multiarmed Bandit

Execution Engine

Top Venues

J. Mach. Learn. Res.

Publications

Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR (2024)
Shengyi Huang, Michael Noukhovitch, Arian Hosseini, Kashif Rasul, Weixun Wang, Lewis Tunstall
The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. CoRR (2024)
Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. ICLR (2024)
Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. CoRR (2023)
Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. CoRR (2023)
Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, Thomas Wolf
Zephyr: Direct Distillation of LM Alignment. CoRR (2023)
Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. NeurIPS (2023)
Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa
A2C is a special case of PPO. CoRR (2022)
Shengyi Huang, Santiago Ontañón
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. FLAIRS (2022)
Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. CoRR (2022)
Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. NeurIPS (2022)
Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga, Dipam Chakraborty, Kinal Mehta, João G. M. Araújo
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms. J. Mach. Learn. Res. 23 (2022)
Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms. CoRR (2021)
Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela
Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoG (2021)
Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoRR (2021)
Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara
An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. IEEE Access 9 (2021)
Shengyi Huang, Santiago Ontañón
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games. CoRR (2020)
Shengyi Huang, Santiago Ontañón
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. CoRR (2020)
Chris Bamford, Shengyi Huang, Simon M. Lucas
Griddly: A platform for AI research in games. CoRR (2020)
Shengyi Huang, Santiago Ontañón
Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS. CoRR (2019)