[AN #159]: Building agents that know how to experiment, by training on procedurally generated games - AI Alignment Forum

Alignment Newsletter is a weekly publication with recent content relevant to AI alignment around the world. Find all Alignment Newsletter resources here. In particular, you can look through this spre…

x [AN #159]: Building agents that know how to experiment, by training on procedurally generated games — AI Alignment Forum Alignment Newsletter AI Frontpage 11 [AN #159]: Building agents that know how to experiment, by training on procedurally generated games by Rohin Shah 4th Aug 2021 Alignment Newsletter 17 min read 4 11 Alignment Newsletter is a weekly publication with recent content relevant to AI alignment around the world. Find all Alignment Newsletter resources here . In particular, you can look through this spreadsheet of all summaries that have ever been in the newsletter. Audio versi

related reading

• How DeepMind's Generally Capable Agents Were Trained — LessWronglesswrong.com
• Just Ask for Generalization | Eric Jangevjang.com
• [2304.03442] Generative Agents: Interactive Simulacra of Human Behaviorarxiv.org
• The Era of Experience Paper.pdfstorage.googleapis.com
• Automated Weak-to-Strong Researcheralignment.anthropic.com
• Generally capable agents emerge from open-ended playdeepmind.google
• Demystifying evals for AI agents \ Anthropicanthropic.com
• As Rocks May Think | Eric Jangevjang.com
• The upcoming GPT-3 moment for RL | Mechanize, Inc.mechanize.work
• DeepMind: Generally capable agents emerge from open-ended play — LessWronglesswrong.com
• Teacher Algorithms for Deep RL Agents that Generalize in Procedurally Generated Environments – Developmental Systems, a Blog of the Flowers Labdevelopmentalsystems.org
• Andrej Karpathy — AGI is still a decade awaydwarkesh.com