AXRP - the AI X-risk Research Podcast

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1. 11. Dez. 2020

   3 - Negotiable Reinforcement Learning with Andrew Critch

   In this episode, I talk with Andrew Critch about negotiable reinforcement learning: what happens when two people (or organizations, or what have you) who have different beliefs and preferences jointly build some agent that will take actions
   58 min
2. 11. Dez. 2020

   2 - Learning Human Biases with Rohin Shah

   One approach to creating useful AI systems is to watch humans doing a task, infer what they're trying to do, and then try to do that well. The simplest way to infer what the humans are trying to do is to assume there's one goal that they sh
   1 h 09
3. 11. Dez. 2020

   1 - Adversarial Policies with Adam Gleave

   In this episode, Adam Gleave and I talk about adversarial policies. Basically, in current reinforcement learning, people train agents that act in some kind of environment, sometimes an environment that contains other agents. For instance, y
   59 min