research
∙
11/20/2022
UniMASK: Unified Inference in Sequential Decision Problems
Randomly masking and predicting word tokens has been a successful approa...
share
research
∙
08/15/2022
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
Simulated humanoids are an appealing research domain due to their physic...
research
∙
04/28/2022
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
Randomly masking and predicting word tokens has been a successful approa...
research
∙
03/09/2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language
Humans have the capability, aided by the expressive compositionality of ...
research
∙
02/23/2022
Consistent Dropout for Policy Gradient Reinforcement Learning
Dropout has long been a staple of supervised learning, but is rarely use...
research
∙
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...
research
∙
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...
research
∙
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),...
research
∙
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...
research
∙
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...
research
∙
01/23/2020
Graph Constrained Reinforcement Learning for Natural Language Action Spaces
Interactive Fiction games are text-based simulations in which an agent i...
research
∙
11/17/2019
Working Memory Graphs
Transformers have increasingly outperformed gated RNNs in obtaining new ...
research
∙
10/02/2019
Learning Calibratable Policies using Programmatic Style-Consistency
We study the important and challenging problem of controllable generatio...
research
∙
09/11/2019
Interactive Fiction Games: A Colossal Adventure
A hallmark of human intelligence is the ability to understand and commun...
research
∙
04/05/2019
Multi-Preference Actor Critic
Policy gradient algorithms typically combine discounted future rewards w...
research
∙
04/01/2019
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection
Malicious scripts are an important computer infection threat vector in t...
research
∙
02/12/2019
NAIL: A General Interactive Fiction Agent
Interactive Fiction (IF) games are complex textual decision making probl...
research
∙
06/29/2018
TextWorld: A Learning Environment for Text-based Games
We introduce TextWorld, a sandbox learning environment for the training ...
research
∙
06/29/2018
Counting to Explore and Generalize in Text-based Games
We propose a recurrent RL agent with an episodic exploration mechanism t...
research
∙
05/11/2018
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Program synthesis is the task of automatically generating a program cons...
research
∙
10/11/2017
Neural Program Meta-Induction
Most recently proposed methods for Neural Program Induction work under t...
research
∙
11/13/2015
Deep Reinforcement Learning in Parameterized Action Space
Recent work has shown that deep neural networks are capable of approxima...
research
∙
03/31/2015