3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Kristy Choi, Chris Cundy, Sanjari Srivastava +1
Particularly in low-data regimes, an outstanding challenge in machine learning is developing principled techniques for augmenting our models with suitable priors. This is to encour…
cs.AI2022
Beyond Bayes-optimality: meta-learning what you know you don't know
Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch +11
Meta-training agents with memory has been shown to culminate in Bayes-optimal agents, which casts Bayes-optimality as the implicit solution to a numerical optimization problem rath…
cs.AI2018
Exploring Hierarchy-Aware Inverse Reinforcement Learning
Chris Cundy, Daniel Filan
We introduce a new generative model for human planning under the Bayesian Inverse Reinforcement Learning (BIRL) framework which takes into account the fact that humans often plan u…