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06/01/2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
Constructing AI models that respond to text instructions is challenging,...
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11/21/2022
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
In recent years, much progress has been made in learning robotic manipul...
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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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07/12/2022
Inner Monologue: Embodied Reasoning through Planning with Language Models
Recent works have shown how the reasoning capabilities of Large Language...
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10/27/2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Deep Reinforcement Learning (RL) is successful in solving many complex M...
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10/09/2020
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels
A channel corresponds to a viewpoint or transformation of an underlying ...
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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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02/21/2019
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise
The choice of batch-size in a stochastic optimization algorithm plays a ...
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02/12/2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
Sparse reward is one of the most challenging problems in reinforcement l...
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09/07/2018
Are You Sure You Want To Do That? Classification with Verification
Classification systems typically act in isolation, meaning they are requ...
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09/07/2018