Beyond Bayes-Optimality: DeepMind & Stanford’s Meta-Learning Approach Builds Risk & Ambiguity Sensitive Agents | Synced
In the new paper Beyond Bayes-Optimality: Meta-Learning What You Know You Don’t Know, researchers from DeepMind and Stanford University use modified meta-training algorithms to build agents w...
Source: Synced | AI Technology & Industry Review
In the new paper Beyond Bayes-Optimality: Meta-Learning What You Know You Don’t Know, researchers from DeepMind and Stanford University use modified meta-training algorithms to build agents with risk- and ambiguity-sensitivity.