Zephyr: Direct distillation of lm alignment L Tunstall, E Beeching, N Lambert, N Rajani, K Rasul, Y Belkada, ...
arXiv preprint arXiv:2310.16944, 2023
516 2023 A closer look at invalid action masking in policy gradient algorithms S Huang, S Ontañón
The International FLAIRS Conference 2022 35, 2022
426 2022 Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms S Huang, RFJ Dossa, C Ye, J Braga, D Chakraborty, K Mehta, ...
Journal of Machine Learning Research 23 (274), 1-18, 2022
325 2022 Trl: Transformer reinforcement learning L von Werra, Y Belkada, L Tunstall, E Beeching, T Thrush, N Lambert, ...
201 2020 The 37 Implementation Details of Proximal Policy Optimization S Huang, RFJ Dossa, A Raffin, A Kanervisto, W Wang
International Conference on Learning Representations Blog Track, 2022
131 2022 Envpool: A highly parallel reinforcement learning environment execution engine J Weng, M Lin, S Huang, B Liu, D Makoviichuk, V Makoviychuk, Z Liu, ...
Advances in Neural Information Processing Systems 35, 22409-22421, 2022
56 2022 The alignment handbook L Tunstall, E Beeching, N Lambert, N Rajani, S Huang, K Rasul, AM Rush, ...
URL https://github. com/huggingface/alignment-handbook 6, 2023
52 2023 Gym- S Huang, S Ontañón, C Bamford, L Grela
Proceedings of the 3rd IEEE Conference on Games, 2021
50 2021 A2C is a special case of PPO S Huang, A Kanervisto, A Raffin, W Wang, S Ontañón, RFJ Dossa
arXiv preprint arXiv:2205.09123, 2022
29 2022 Zephyr: Direct distillation of lm alignment, 2023 L Tunstall, E Beeching, N Lambert, N Rajani, K Rasul, Y Belkada, ...
URL https://arxiv. org/abs/2310.16944 6, 2023
20 2023 Tülu 3: Pushing Frontiers in Open Language Model Post-Training N Lambert, J Morrison, V Pyatkin, S Huang, H Ivison, F Brahman, ...
arXiv preprint arXiv:2411.15124, 2024
19 2024 Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions J Li, E Beeching, L Tunstall, B Lipkin, R Soletskyi, S Huang, K Rasul, L Yu, ...
Hugging Face repository 13, 9, 2024
19 2024 The n+ implementation details of rlhf with ppo: A case study on tl; dr summarization S Huang, M Noukhovitch, A Hosseini, K Rasul, W Wang, L Tunstall
arXiv preprint arXiv:2403.17031, 2024
18 2024 An empirical investigation of early stopping optimizations in proximal policy optimization RFJ Dossa, S Huang, S Ontañón, T Matsubara
IEEE access 9, 117981-117992, 2021
16 2021 Action guidance: Getting the best of sparse rewards and shaped rewards for real-time strategy games S Huang, S Ontañón
AIIDE-20 Workshop on Artificial Intelligence for Strategy Games, 2020
13 2020 Open rl benchmark: Comprehensive tracked experiments for reinforcement learning S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ...
arXiv preprint arXiv:2402.03046, 2024
9 2024 MEDCOD: A medically-accurate, emotive, diverse, and controllable dialog system R Compton, I Valmianski, L Deng, C Huang, N Katariya, X Amatriain, ...
Machine Learning for Health, 110-129, 2021
7 2021 Comparing Observation and Action Representations for Deep Reinforcement Learning in S Huang, S Ontañón
AIIDE-19 Workshop on Artificial Intelligence for Strategy Games, 2019
7 * 2019 2 OLMo 2 Furious T OLMo, P Walsh, L Soldaini, D Groeneveld, K Lo, S Arora, A Bhagia, ...
arXiv preprint arXiv:2501.00656, 2024
6 2024 Reward scale robustness for proximal policy optimization via dreamerv3 tricks R Sullivan, A Kumar, S Huang, J Dickerson, J Suarez
Advances in Neural Information Processing Systems 36, 1352-1362, 2023
3 2023 
Santiago OntañónResearch Scientist, Google DeepMindПідтверджена електронна адреса в google.com
