Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3227 | 2023 |
A generalist agent S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... arXiv preprint arXiv:2205.06175, 2022 | 1011 | 2022 |
Magnetic control of tokamak plasmas through deep reinforcement learning J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ... Nature 602 (7897), 414-419, 2022 | 934 | 2022 |
Robust reinforcement learning for continuous control with model misspecification DJ Mankowitz, N Levine, R Jeong, Y Shi, J Kay, A Abdolmaleki, ... arXiv preprint arXiv:1906.07516, 2019 | 131 | 2019 |
Sociotechnical safety evaluation of generative ai systems L Weidinger, M Rauh, N Marchal, A Manzini, LA Hendricks, ... arXiv preprint arXiv:2310.11986, 2023 | 129 | 2023 |
Fairness for unobserved characteristics: Insights from technological impacts on queer communities N Tomasev, KR McKee, J Kay, S Mohamed Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 254-265, 2021 | 103 | 2021 |
Self-supervised sim-to-real adaptation for visual robotic manipulation R Jeong, Y Aytar, D Khosid, Y Zhou, J Kay, T Lampe, K Bousmalis, F Nori 2020 IEEE international conference on robotics and automation (ICRA), 2718-2724, 2020 | 72 | 2020 |
Learning gentle object manipulation with curiosity-driven deep reinforcement learning SH Huang, M Zambelli, J Kay, MF Martins, Y Tassa, PM Pilarski, ... arXiv preprint arXiv:1903.08542, 2019 | 57 | 2019 |
A generalist agent. arXiv 2022 S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... arXiv preprint arXiv:2205.06175, 1-40, 0 | 48 | |
Learning dexterous manipulation from suboptimal experts R Jeong, JT Springenberg, J Kay, D Zheng, Y Zhou, A Galashov, N Heess, ... arXiv preprint arXiv:2010.08587, 2020 | 42 | 2020 |
Queer in AI: A case study in community-led participatory AI OO Queerinai, A Ovalle, A Subramonian, A Singh, C Voelcker, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 29 | 2023 |
Modelling generalized forces with reinforcement learning for sim-to-real transfer R Jeong, J Kay, F Romano, T Lampe, T Rothorl, A Abdolmaleki, T Erez, ... arXiv preprint arXiv:1910.09471, 2019 | 27 | 2019 |
Subverting machines, fluctuating identities: Re-learning human categorization C Lu, J Kay, K McKee Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 24 | 2022 |
Real-time control in ROS and ROS 2.0 J Kay, AR Tsouroukdissian ROSCon15, 2015 | 24 | 2015 |
Finetuning from offline reinforcement learning: Challenges, trade-offs and practical solutions Y Luo, J Kay, E Grefenstette, MP Deisenroth arXiv preprint arXiv:2303.17396, 2023 | 21 | 2023 |
A generalist agent. arXiv S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... arXiv preprint arXiv:2205.06175, 2022 | 21 | 2022 |
Local search for policy iteration in continuous control JT Springenberg, N Heess, D Mankowitz, J Merel, A Byravan, ... arXiv preprint arXiv:2010.05545, 2020 | 18 | 2020 |
Proposal for Implementation of Real-time Systems in ROS 2 J Kay ROS. org, 2016 | 10 | 2016 |
Challenging Systematic Prejudices: An Investigation into Bias Against Women and Girls D Van Niekerk, M Peréz-Ortiz, J Shawe-Taylor, D Orlic, J Kay, N Siegel, ... UNESCO, IRCAI, 2024 | 7 | 2024 |
Epistemic injustice in generative ai J Kay, A Kasirzadeh, S Mohamed Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 684-697, 2024 | 6 | 2024 |