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07/26/2023
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
When writing programs, people have the ability to tackle a new complex t...
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03/03/2023
Learning to Influence Human Behavior with Offline Reinforcement Learning
In the real world, some of the most complex settings for learned agents ...
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12/09/2022
Multi-Task Off-Policy Learning from Bandit Feedback
Many practical applications, such as recommender systems and learning to...
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12/09/2022
On the Sensitivity of Reward Inference to Misspecified Human Models
Inferring reward functions from human behavior is at the center of value...
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12/08/2022
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
Offline reinforcement learning (RL) promises the ability to learn effect...
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04/12/2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?
Offline reinforcement learning (RL) algorithms can acquire effective pol...
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04/07/2022
Compositional Generalization and Decomposition in Neural Program Synthesis
When writing programs, people have the ability to tackle a new complex t...
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02/03/2022
Deep Hierarchy in Bandits
Mean rewards of actions are often correlated. The form of these correlat...
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11/12/2021
Hierarchical Bayesian Bandits
Meta-, multi-task, and federated learning can be all viewed as solving s...
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06/10/2021
Thompson Sampling with a Mixture Prior
We study Thompson sampling (TS) in online decision-making problems where...
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12/01/2020
Non-Stationary Latent Bandits
Users of recommender systems often behave in a non-stationary fashion, d...
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12/01/2020
Latent Programmer: Discrete Latent Codes for Program Synthesis
In many sequence learning tasks, such as program synthesis and document ...
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06/15/2020
Latent Bandits Revisited
A latent bandit problem is one in which the learning agent knows the arm...
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06/15/2020
Piecewise-Stationary Off-Policy Optimization
Off-policy learning is a framework for evaluating and optimizing policie...
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06/21/2019
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
We focus on the problem of predicting future states of entities in compl...
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10/04/2016