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2020 – today
- 2024
[c5]Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón:
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. ICLR 2024- [i13]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 abs/2402.03046 (2024) - [i12]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 abs/2403.17031 (2024) - 2023
- [c4]Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez:
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. NeurIPS 2023 - [i11]Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón:
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. CoRR abs/2310.00036 (2023) - [i10]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 abs/2310.16944 (2023) - [i9]Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez:
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. CoRR abs/2310.17805 (2023) - 2022
- [j2]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: 274:1-274:18 (2022) - [c3]Shengyi Huang, Santiago Ontañón:
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. FLAIRS 2022 - [c2]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 - [i8]Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa:
A2C is a special case of PPO. CoRR abs/2205.09123 (2022) - [i7]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 abs/2206.10558 (2022) - 2021
- [j1]Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara:
An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. IEEE Access 9: 117981-117992 (2021) - [c1]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: 1-8 - [i6]Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela:
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoRR abs/2105.13807 (2021) - [i5]Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga:
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms. CoRR abs/2111.08819 (2021) - 2020
- [i4]Shengyi Huang, Santiago Ontañón:
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. CoRR abs/2006.14171 (2020) - [i3]Shengyi Huang, Santiago Ontañón:
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games. CoRR abs/2010.03956 (2020) - [i2]Chris Bamford, Shengyi Huang, Simon M. Lucas:
Griddly: A platform for AI research in games. CoRR abs/2011.06363 (2020)
2010 – 2019
- 2019
- [i1]Shengyi Huang, Santiago Ontañón:
Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS. CoRR abs/1910.12134 (2019)
Coauthor Index
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