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Wei Zhang
393 publications
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∙ 03/01/2022

AI Planning Annotation for Sample Efficient Reinforcement Learning

AI planning and Reinforcement Learning (RL) both solve sequential decisi...

2 JunKyu Lee, et al. ∙

∙ 01/18/2022

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments

Current AI systems lack several important human capabilities, such as ad...

6 Marianna B. Ganapini, et al. ∙

∙ 10/05/2021

Thinking Fast and Slow in AI: the Role of Metacognition

AI systems have seen dramatic advancement in recent years, bringing many...

20 Marianna Bergamaschi Ganapini, et al. ∙

∙ 12/03/2020

Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning

Human judgments of word similarity have been a popular method of evaluat...

5 Wei Zhang, et al. ∙

∙ 11/25/2020

Continual learning with direction-constrained optimization

This paper studies a new design of the optimization algorithm for traini...

6 Yunfei Teng, et al. ∙

∙ 10/19/2020

Deriving Commonsense Inference Tasks from Interactive Fictions

Commonsense reasoning simulates the human ability to make presumptions a...

0 Mo Yu, et al. ∙

∙ 10/08/2020

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines

Text-based games have emerged as an important test-bed for Reinforcement...

49 Keerthiram Murugesan, et al. ∙

∙ 10/05/2020

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning

Interactive Fiction (IF) games with real human-written natural language ...

4 Xiaoxiao Guo, et al. ∙

∙ 06/16/2020

A Study of Compositional Generalization in Neural Models

Compositional and relational learning is a hallmark of human intelligenc...

18 Tim Klinger, et al. ∙

∙ 04/06/2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

We propose the new problem of learning to recover reasoning chains from ...

0 Yufei Feng, et al. ∙

∙ 09/17/2019

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering

A key challenge of multi-hop question answering (QA) in the open-domain ...

0 Wenhan Xiong, et al. ∙

∙ 06/05/2019

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning

Using machine learning in high-stakes applications often requires predic...

4 Noel C. F. Codella, et al. ∙

∙ 03/11/2019

Hybrid Reinforcement Learning with Expert State Sequences

Existing imitation learning approaches often require that the complete d...

8 Xiaoxiao Guo, et al. ∙

∙ 03/07/2019

Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning

Heterogeneous knowledge naturally arises among different agents in coope...

6 Dong-Ki Kim, et al. ∙

∙ 11/12/2018

TED: Teaching AI to Explain its Decisions

Artificial intelligence systems are being increasingly deployed due to t...

12 Noel C. F. Codella, et al. ∙

∙ 09/21/2018

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Autonomous cyber-physical agents and systems play an increasingly large ...

16 Ritesh Noothigattu, et al. ∙

∙ 05/29/2018

Teaching Meaningful Explanations

The adoption of machine learning in high-stakes applications such as hea...

0 Noel C. F. Codella, et al. ∙

∙ 05/20/2018

Learning to Teach in Cooperative Multiagent Reinforcement Learning

We present a framework and algorithm for peer-to-peer teaching in cooper...

0 Shayegan Omidshafiei, et al. ∙

∙ 12/11/2017

The Eigenoption-Critic Framework

Eigenoptions (EOs) have been recently introduced as a promising idea for...

0 Miao Liu, et al. ∙

∙ 11/14/2017

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

A popular recent approach to answering open-domain questions is to first...

0 Shuohang Wang, et al. ∙

∙ 10/30/2017

Eigenoption Discovery through the Deep Successor Representation

Options in reinforcement learning allow agents to hierarchically decompo...

0 Marlos C. Machado, et al. ∙

∙ 09/27/2016

UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS

In this paper, we present UbuntuWorld 1.0 LTS - a platform for developin...

0 Tathagata Chakraborti, et al. ∙

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