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04/12/2023
Boosted Prompt Ensembles for Large Language Models
Methods such as chain-of-thought prompting and self-consistency have pus...
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11/03/2022
Large Language Models Are Human-Level Prompt Engineers
By conditioning on natural language instructions, large language models ...
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10/20/2022
MoCoDA: Model-based Counterfactual Data Augmentation
The number of states in a dynamic process is exponential in the number o...
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07/06/2020
Counterfactual Data Augmentation using Locally Factored Dynamics
Many dynamic processes, including common scenarios in robotic control an...
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07/06/2020
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
What goals should a multi-goal reinforcement learning agent pursue durin...
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02/14/2020
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
Distances are pervasive in machine learning. They serve as similarity me...
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01/27/2020
Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes
How should one combine noisy information from diverse sources to make an...
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09/09/2019
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
We explore fixed-horizon temporal difference (TD) methods, reinforcement...
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02/08/2019
Source Traces for Temporal Difference Learning
This paper motivates and develops source traces for temporal difference ...
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02/08/2019