Matthew Hausknecht | DeepAI

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∙ 11/20/2022

UniMASK: Unified Inference in Sequential Decision Problems

Randomly masking and predicting word tokens has been a successful approa...

0 Micah Carroll, et al. ∙

∙ 08/15/2022

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control

Simulated humanoids are an appealing research domain due to their physic...

0 Nolan Wagener, et al. ∙

∙ 04/28/2022

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers

Randomly masking and predicting word tokens has been a successful approa...

2 Micah Carroll, et al. ∙

∙ 03/09/2022

One-Shot Learning from a Demonstration with Hierarchical Latent Language

Humans have the capability, aided by the expressive compositionality of ...

3 Nathaniel Weir, et al. ∙

∙ 02/23/2022

Consistent Dropout for Policy Gradient Reinforcement Learning

Dropout has long been a staple of supervised learning, but is rarely use...

0 Matthew Hausknecht, et al. ∙

∙ 03/29/2021

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

The NeurIPS 2020 Procgen Competition was designed as a centralized bench...

26 Sharada Mohanty, et al. ∙

∙ 03/25/2021

Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents

Text-based games simulate worlds and interact with players using natural...

0 Shunyu Yao, et al. ∙

∙ 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),...

10 Mohit Shridhar, et al. ∙

∙ 10/06/2020

Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Text-based games present a unique challenge for autonomous agents to ope...

0 Shunyu Yao, et al. ∙

∙ 06/12/2020

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds

Text-based games are long puzzles or quests, characterized by a sequence...

0 Prithviraj Ammanabrolu, et al. ∙

∙ 01/23/2020

Graph Constrained Reinforcement Learning for Natural Language Action Spaces

Interactive Fiction games are text-based simulations in which an agent i...

0 Prithviraj Ammanabrolu, et al. ∙

∙ 11/17/2019

Working Memory Graphs

Transformers have increasingly outperformed gated RNNs in obtaining new ...

0 Ricky Loynd, et al. ∙

∙ 10/02/2019

Learning Calibratable Policies using Programmatic Style-Consistency

We study the important and challenging problem of controllable generatio...

21 Eric Zhan, et al. ∙

∙ 09/11/2019

Interactive Fiction Games: A Colossal Adventure

A hallmark of human intelligence is the ability to understand and commun...

0 Matthew Hausknecht, et al. ∙

∙ 04/05/2019

Multi-Preference Actor Critic

Policy gradient algorithms typically combine discounted future rewards w...

0 Ishan Durugkar, et al. ∙

∙ 04/01/2019

ScriptNet: Neural Static Analysis for Malicious JavaScript Detection

Malicious scripts are an important computer infection threat vector in t...

0 Jack W. Stokes, et al. ∙

∙ 02/12/2019

NAIL: A General Interactive Fiction Agent

Interactive Fiction (IF) games are complex textual decision making probl...

0 Matthew Hausknecht, et al. ∙

∙ 06/29/2018

TextWorld: A Learning Environment for Text-based Games

We introduce TextWorld, a sandbox learning environment for the training ...

4 Marc-Alexandre Côté, et al. ∙

∙ 06/29/2018

Counting to Explore and Generalize in Text-based Games

We propose a recurrent RL agent with an episodic exploration mechanism t...

0 Xingdi Yuan, et al. ∙

∙ 05/11/2018

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

Program synthesis is the task of automatically generating a program cons...

0 Rudy Bunel, et al. ∙

∙ 10/11/2017

Neural Program Meta-Induction

Most recently proposed methods for Neural Program Induction work under t...

0 Jacob Devlin, et al. ∙

∙ 11/13/2015

Deep Reinforcement Learning in Parameterized Action Space

Recent work has shown that deep neural networks are capable of approxima...

0 Matthew Hausknecht, et al. ∙

∙ 03/31/2015

Beyond Short Snippets: Deep Networks for Video Classification

Convolutional neural networks (CNNs) have been extensively applied for i...

0 Joe Yue-Hei Ng, et al. ∙

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