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06/21/2023
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference
We view large language models (LLMs) as stochastic language layers in a ...
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05/24/2023
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games
In this work we examine the ability of language models to generate expli...
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05/21/2023
Augmenting Autotelic Agents with Large Language Models
Humans learn to master open-ended repertoires of skills by imagining and...
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02/10/2023
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld
Building open-ended agents that can autonomously discover a diversity of...
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11/12/2022
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding
Human intelligence can remarkably adapt quickly to new tasks and environ...
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11/01/2022
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions
The adoption of pre-trained language models to generate action plans for...
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10/13/2022
Behavior Cloned Transformers are Neurosymbolic Reasoners
In this work, we explore techniques for augmenting interactive agents wi...
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08/01/2022
TextWorldExpress: Simulating Text Games at One Million Steps Per Second
Text-based games offer a challenging test bed to evaluate virtual agents...
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07/08/2022
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents
In this extended abstract we discuss the opportunities and challenges of...
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05/31/2022
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents
We present the IGLU Gridworld: a reinforcement learning environment for ...
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05/27/2022
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022
Human intelligence has the remarkable ability to adapt to new tasks and ...
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05/12/2022
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
To solve difficult tasks, humans ask questions to acquire knowledge from...
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03/14/2022
ScienceWorld: Is your Agent Smarter than a 5th Grader?
This paper presents a new benchmark, ScienceWorld, to test agents' scien...
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03/09/2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language
Humans have the capability, aided by the expressive compositionality of ...
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10/08/2020
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Given a simple request (e.g., Put a washed apple in the kitchen fridge),...
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06/24/2020
Graph Policy Network for Transferable Active Learning on Graphs
Graph neural networks (GNNs) have been attracting increasing popularity ...
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02/21/2020
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games
Playing text-based games requires skill in processing natural language a...
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10/21/2019
Building Dynamic Knowledge Graphs from Text-based Games
We are interested in learning how to update Knowledge Graphs (KG) from t...
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09/11/2019
Interactive Fiction Games: A Colossal Adventure
A hallmark of human intelligence is the ability to understand and commun...
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08/28/2019
Interactive Language Learning by Question Answering
Humans observe and interact with the world to acquire knowledge. However...
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08/27/2019
Interactive Machine Comprehension with Information Seeking Agents
Existing machine reading comprehension (MRC) models do not scale effecti...
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06/19/2019
Unsupervised State Representation Learning in Atari
State representation learning, or the ability to capture latent generati...
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12/03/2018
Towards Solving Text-based Games by Producing Adaptive Action Spaces
To solve a text-based game, an agent needs to formulate valid text comma...
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09/20/2018
Lessons learned in multilingual grounded language learning
Recent work has shown how to learn better visual-semantic embeddings by ...
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07/10/2018
Revisiting the Hierarchical Multiscale LSTM
Hierarchical Multiscale LSTM (Chung et al., 2016a) is a state-of-the-art...
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06/29/2018
TextWorld: A Learning Environment for Text-based Games
We introduce TextWorld, a sandbox learning environment for the training ...
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06/29/2018
Counting to Explore and Generalize in Text-based Games
We propose a recurrent RL agent with an episodic exploration mechanism t...
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11/15/2017
Z-Forcing: Training Stochastic Recurrent Networks
Many efforts have been devoted to training generative latent variable mo...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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05/07/2016
Neural Autoregressive Distribution Estimation
We present Neural Autoregressive Distribution Estimation (NADE) models, ...
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02/09/2015
