Open-Ended Learning Leads to Generally Capable Agents

In this work we create agents that can perform well beyond a single, individual task, that exhibit much wider generalisation of behaviour to a massive, rich space of challenges. We define a universe of tasks within an environment domain and demonstrate the ability to train agents that are generally...

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Veröffentlicht in:	arXiv.org 2021-07
Hauptverfasser:	Open Ended Learning Team, Stooke, Adam, Mahajan, Anuj, Barros, Catarina, Deck, Charlie, Bauer, Jakob, Sygnowski, Jakub, Trebacz, Maja, Jaderberg, Max, Mathieu, Michael, McAleese, Nat, Bradley-Schmieg, Nathalie, Wong, Nathaniel, Porcel, Nicolas, Raileanu, Roberta, Hughes-Fitt, Steph, Dalibard, Valentin, Czarnecki, Wojciech Marian
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavior Experimentation Learning Multiagent systems Training Universe
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