Browsing: OpenAI
Research Published 8 December 2022 Authors The AlphaCode team Note: This blog was first published on 2 Feb 2022. Following the paper’s publication in Science on…
Agents cooperate better by communicating and negotiating, and sanctioning broken promises helps keep them honestSuccessful communication and cooperation have been crucial for helping societies advance throughout…
Research Published 6 December 2022 Authors Yoram Bachrach, János Kramár Agents cooperate better by communicating and negotiating, and sanctioning broken promises helps keep them honestSuccessful communication…
DeepNash learns to play Stratego from scratch by combining game theory and model-free deep RLGame-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego,…
Research Published 1 December 2022 Authors Julien Perolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub and Karl Tuyls DeepNash learns to play Stratego from…
Advancing best-in-class large models, compute-optimal RL agents, and more transparent, ethical, and fair AI systemsThe thirty-sixth International Conference on Neural Information Processing Systems (NeurIPS 2022) is…
Advancing best-in-class large models, compute-optimal RL agents, and more transparent, ethical, and fair AI systemsThe thirty-sixth International Conference on Neural Information Processing Systems (NeurIPS 2022) is…
Notes[1] Abramson, J., Ahuja, A., Barr, I., Brussee, A., Carnevale, F., Cassin, M., Chhaparia, R., Clark, S., Damoc, B., Dudzik, A. and Georgiev, P., 2020. Imitating…
Introducing a framework to create AI agents that can understand human instructions and perform actions in open-ended settingsHuman behaviour is remarkably complex. Even a simple request…
NotesReferences[1] John M Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ron-neberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Zídek, Anna Potapenko, Alex Bridgland, Clemens Meyer,…