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Nathan Lambert
Nathan Lambert
Research Scientist, Allen AI
Verified email at allenai.org - Homepage
Title
Cited by
Cited by
Year
[Github] Diffusers: State-of-the-art diffusion models
P von Platen, S Patil, A Lozhkov, P Cuenca, N Lambert, K Rasul, ...
https://github.com/huggingface/diffusers, 2022
170*2022
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
N Lambert, DS Drew, J Yaconelli, R Calandra, S Levine, KSJ Pister
IEEE Robotics and Automation Letters 4 (4), 4224-4230, 2019
1612019
On the importance of hyperparameter optimization for model-based reinforcement learning
B Zhang, R Rajan, L Pineda, N Lambert, A Biedenkapp, K Chua, F Hutter, ...
International Conference on Artificial Intelligence and Statistics, 4015-4023, 2021
942021
Objective Mismatch in Model-based Reinforcement Learning
N Lambert, B Amos, O Yadan, R Calandra
Learning for Dynamics and Control (L4DC), 2020
852020
Zephyr: Direct distillation of lm alignment
L Tunstall, E Beeching, N Lambert, N Rajani, K Rasul, Y Belkada, ...
arXiv preprint arXiv:2310.16944, 2023
752023
Open LLM Leaderboard
E Beeching, S Han, N Lambert, N Rajani, O Sanseviero, L Tunstall, T Wolf
Hugging Face, 2023
712023
Toward controlled flight of the ionocraft: a flying microrobot using electrohydrodynamic thrust with onboard sensing and no moving parts
D Drew, N Lambert, C Schindler, K Pister
IEEE Robotics and Automation Letters 3 (4), 2807-2813, 2018
702018
[Blog] Illustrating reinforcement learning from human feedback (RLHF)
N Lambert, L Castricato, L von Werra, A Havrilla
https://hf.co/blog/rlhf, 2022
61*2022
Learning generalizable locomotion skills with hierarchical reinforcement learning
T Li, N Lambert, R Calandra, F Meier, A Rai
IEEE International Conference on Robotics and Automation (ICRA), 413-419, 2020
422020
[Github] Trl: Transformer reinforcement learning
L von Werra, Y Belkada, L Tunstall, E Beeching, T Thrush, N Lambert
https://github.com/lvwerra/trl, 2020
42*2020
Mbrl-lib: A modular library for model-based reinforcement learning
L Pineda, B Amos, A Zhang, NO Lambert, R Calandra
arXiv preprint arXiv:2104.10159, 2021
402021
The challenges of exploration for offline reinforcement learning
N Lambert, M Wulfmeier, W Whitney, A Byravan, M Bloesch, V Dasagi, ...
arXiv preprint arXiv:2201.11861, 2022
332022
Reward reports for reinforcement learning
TK Gilbert, N Lambert, S Dean, T Zick, A Snoswell, S Mehta
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 84-130, 2023
262023
Camels in a changing climate: Enhancing lm adaptation with tulu 2
H Ivison, Y Wang, V Pyatkin, N Lambert, M Peters, P Dasigi, J Jang, ...
arXiv preprint arXiv:2311.10702, 2023
252023
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning
N Lambert, A Wilcox, H Zhang, K Pister, R Calandra
IEEE Conference on Decision and Control (CDC), 2880-2887, 2021
212021
Investigating compounding prediction errors in learned dynamics models
N Lambert, K Pister, R Calandra
arXiv preprint arXiv:2203.09637, 2022
142022
Axes for sociotechnical inquiry in AI research
S Dean, TK Gilbert, N Lambert, T Zick
IEEE Transactions on Technology and Society 2 (2), 62-70, 2021
132021
Enhanced lithium niobate pyroelectric ionizer for chip-scale ion mobility-based gas sensing
KB Vinayakumar, V Gund, N Lambert, S Lodha, A Lal
IEEE SENSORS, 1-3, 2016
132016
Nonholonomic yaw control of an underactuated flying robot with model-based reinforcement learning
NO Lambert, CB Schindler, DS Drew, KSJ Pister
IEEE Robotics and Automation Letters 6 (2), 455-461, 2020
112020
Stackllama: An rl fine-tuned llama model for stack exchange question and answering, 2023
E Beeching, Y Belkada, K Rasul, L Tunstall, L von Werra, N Rajani, ...
URL https://huggingface. co/blog/stackllama 1, 2023
102023
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