2019.10.27 AI papers

 

10-24-2019

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
by Chengshu Li et al

10-22-2019

Question Answering over Knowledge Graphs via Structural Query Patterns
by Weiguo Zheng et al

10-22-2019

Bottom-Up Meta-Policy Search
by Luckeciano C. Melo et al

10-24-2019

Machine Translation from Natural Language to Code using Long-Short Term Memory
by K. M. Tahsin Hassan Rahit et al

10-24-2019

Capacity, Bandwidth, and Compositionality in Emergent Language Learning
by Cinjon Resnick et al

10-22-2019

Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning
by Haodi Zhang et al

10-23-2019

Robust Domain Randomization for Reinforcement Learning
by Reda Bahi Slaoui et al

10-22-2019

Towards Combinational Relation Linking over Knowledge Graphs
by Weiguo Zheng et al

10-23-2019

UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands
by Lin Shao et al

10-22-2019

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
by Alejandro Barredo Arrieta et al

10-25-2019

Deep Reinforcement Learning in HOL4
by Thibault Gauthier

10-24-2019

Learning Hierarchical Control for Robust In-Hand Manipulation
by Tingguang Li et al

10-24-2019

Simple Strategies in Multi-Objective MDPs (Technical Report)
by Florent Delgrange et al

10-25-2019

On the Cross-lingual Transferability of Monolingual Representations
by Mikel Artetxe et al

10-23-2019

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
by Tianhe Yu et al

10-23-2019

Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
by Patrik Reizinger et al

10-23-2019

Diversifying Database Activity Monitoring with Bandits
by Hagit Grushka-Cohen et al

10-23-2019

Decentralized Runtime Synthesis of Shields for Multi-Agent Systems
by Dhananjay Raju et al

10-22-2019

Robot-Friendly Cities
by Seng W. Loke

10-22-2019

An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision
by Hanchen Wang et al

10-25-2019

Coalitional Games with Stochastic Characteristic Functions and Private Types
by Dengji Zhao et al

10-23-2019

Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation
by Rusheng Zhang et al

10-23-2019

A Hybrid Semantic Parsing Approach for Tabular Data Analysis
by Yan Gao et al

10-23-2019

Preventing Adversarial Use of Datasets through Fair Core-Set Construction
by Benjamin Spector et al

10-22-2019

Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
by Siddharth Patki et al

10-23-2019

Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem
by Chunnan Wang et al

10-23-2019

RTOP: A Conceptual and Computational Framework for General Intelligence
by Shilpesh Garg

10-24-2019

Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations
by Fei Hu et al

10-22-2019

Learning Humanoid Robot Running Skills through Proximal Policy Optimization
by Luckeciano C. Melo et al

10-23-2019

Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles
by Aditya Modi et al

10-22-2019

Artificial Intelligence and the Future of Psychiatry: Qualitative Findings from a Global Physician Survey
by Charlotte Blease et al

10-23-2019

Knowledge Map: Toward a New Approach Supporting the Knowledge Management in Distributed Data Mining
by Nhien-An Le-Khac et al

10-24-2019

Taxonomy of Real Faults in Deep Learning Systems
by Gunel Jahangirova et al

10-23-2019

Neural Execution of Graph Algorithms
by Petar Veličković et al

10-24-2019

Predicting In-game Actions From the Language of NBA Players
by Nadav Oved et al

10-24-2019

How robots in a large group make decisions as a whole? From biological inspiration to the design of distributed algorithms
by Gabriele Valentini

10-23-2019

Relation Module for Non-answerable Prediction on Question Answering
by Kevin Huang et al

10-22-2019

Learning Resilient Behaviors for Navigation Under Uncertainty Environments
by Tingxiang Fan et al

10-23-2019

High-Confidence Policy Optimization: Reshaping Ambiguity Sets in Robust MDPs
by Bahram Behzadian et al

10-23-2019

The Task Analysis Cell Assembly Perspective
by Dan Diaper et al

10-23-2019

Knowledge of Uncertain Worlds: Programming with Logical Constraints
by Yanhong A. Liu et al

10-24-2019

Task-Motion Planning for Navigation in Belief Space
by Antony Thomas et al

10-24-2019

Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning
by Michael Everett et al

 
Craig Smith