Eric Hambro
Eric Hambro
FAIR / Meta AI
Verified email at - Homepage
Cited by
Cited by
LLaMA: Open and efficient foundation language models
H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ...
arXiv preprint arXiv:2302.13971, 2023
Minihack the planet: A sandbox for open-ended reinforcement learning research
M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ...
NeurIPS 2021 Datasets and Benchmarks, 2021
GPflux: A library for deep Gaussian processes
V Dutordoir, H Salimbeni, E Hambro, J McLeod, F Leibfried, A Artemev, ...
arXiv preprint arXiv:2104.05674, 2021
Insights from the Neurips 2021 Nethack Challenge
E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ...
NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022
LLaMA: Open and Efficient Foundation Language Models. DOI: 10.48550
H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ...
arXiv preprint ARXIV.2302.13971, 2023
Dungeons and Data: A Large-Scale NetHack Dataset
E Hambro, R Raileanu, D Rothermel, V Mella, T Rocktäschel, H Küttler, ...
Advances in Neural Information Processing Systems 35, 24864-24878, 2022
moolib: A Platform for Distributed RL. 2022
V Mella, E Hambro, D Rothermel, H Küttler
URL https://github. com/facebookresearch/moolib 8, 17, 0
Understanding the Effects of RLHF on LLM Generalisation and Diversity
R Kirk, I Mediratta, C Nalmpantis, J Luketina, E Hambro, E Grefenstette, ...
arXiv preprint arXiv:2310.06452, 2023
Learning to Solve New sequential decision-making Tasks with In-Context Learning
SC Raparthy, E Hambro, R Kirk, M Henaff, R Raileanu
NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023
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