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06/08/2023
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
In many domains, autoregressive models can achieve low log-likelihood on...
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04/13/2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Large pre-trained models, also known as foundation models (FMs), are tra...
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10/22/2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Particularly in low-data regimes, an outstanding challenge in machine le...
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09/30/2022
Beyond Bayes-optimality: meta-learning what you know you don't know
Meta-training agents with memory has been shown to culminate in Bayes-op...
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12/06/2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
A structural equation model (SEM) is an effective framework to reason ov...
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06/23/2021
IQ-Learn: Inverse soft-Q Learning for Imitation
In many sequential decision-making problems (e.g., robotics control, gam...
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12/30/2020
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
As reinforcement learning techniques are increasingly applied to real-wo...
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07/13/2018
Exploring Hierarchy-Aware Inverse Reinforcement Learning
We introduce a new generative model for human planning under the Bayesia...
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09/12/2017