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08/24/2023
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge
Large Language Models (LLMs) have demonstrated impressive planning abili...
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04/17/2023
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach
Despite numerous successes in Deep Reinforcement Learning (DRL), the lea...
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03/29/2023
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions
To enable progress towards egocentric agents capable of understanding ev...
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05/11/2021
Zero-Shot Generalization using Intrinsically Motivated Compositional Emergent Protocols
Human language has been described as a system that makes use of finite m...
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05/09/2021
gComm: An environment for investigating generalization in Grounded Language Acquisition
gComm is a step towards developing a robust platform to foster research ...
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03/11/2021
Active^2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
While deep learning is a powerful tool for natural language processing (...
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12/09/2020
Infinite use of finite means: Zero-Shot Generalization using Compositional Emergent Protocols
Human language has been described as a system that makes use of finite m...
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04/06/2020
Networked Multi-Agent Reinforcement Learning with Emergent Communication
Multi-Agent Reinforcement Learning (MARL) methods find optimal policies ...
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11/01/2019
