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05/26/2023
Im-Promptu: In-Context Composition from Image Prompts
Large language models are few-shot learners that can solve diverse tasks...
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03/20/2023
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Object rearrangement is a challenge for embodied agents because solving ...
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01/18/2023
Human-Timescale Adaptation in an Open-Ended Task Space
Foundation models have shown impressive adaptation and scalability in su...
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10/23/2022
DMODE: Differential Monocular Object Distance Estimation Module without Class Specific Information
Using a single camera to estimate the distances of objects reduces costs...
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07/02/2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Iterative refinement – start with a random guess, then iteratively impro...
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05/13/2022
Blockaid: Data Access Policy Enforcement for Web Applications
Modern web applications serve large amounts of sensitive user data, acce...
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07/12/2021
Explore and Control with Adversarial Surprise
Reinforcement learning (RL) provides a framework for learning goal-direc...
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06/28/2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
Many transfer problems require re-using previously optimal decisions for...
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07/05/2020
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
This paper seeks to establish a framework for directing a society of sim...
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10/28/2019
Entity Abstraction in Visual Model-Based Reinforcement Learning
This paper tests the hypothesis that modeling a scene in terms of entiti...
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05/23/2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Humans are able to perform a myriad of sophisticated tasks by drawing up...
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07/18/2018
Representational efficiency outweighs action efficiency in human program induction
The importance of hierarchically structured representations for tractabl...
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02/28/2018
