Explore social reinforcement learning in this 28-minute conference talk presented by Natasha Jaques of Google AI at IPAM's Mathematics of Collective Intelligence Workshop. Delve into the abilities required for AI assistants, focusing on social learning and the process of learning from other intelligent agents in the environment. Examine generalization and transfer in reinforcement learning, as well as adversarial environment generation. Discover the PAIRED (Protagonist Antagonist Induced Regret Environment Design) approach for constraining adversaries in impossible environments. Investigate environment generation for web navigation and task success. Gain insights into social learning with multi-agent reinforcement learning and understand how agents utilize social learning techniques.